| addt | Produces the t test for an additional explanatory variable |
| estregimeTAR | Estimate a regression model with OLS in one of the regimes of a TAR model |
| forecastTS | Forecast for a time series with trend, time varying seasonal, level shift and irregular component |
| FSR | Computes forward search estimator in linear regression |
| FSRBbsb | Returns the units belonging to the subset in each step of the Bayesian forward search |
| FSRbsb | Returns the units belonging to the subset in each step of the forward search |
| FSReda | Enables to monitor several quantities in each step of the forward search |
| FSRenvmdr | Computes the theoretical envelopes of Minimum Deletion Residual outside subset during the search |
| FSRinvmdr | Converts values of mdr into confidence levels and mdr in normal coordinates |
| FSRmdr | Computes minimum deletion residual and other basic linear regression quantities in each step of the search |
| FSRr | Forward search in linear regression reweighted |
| FSRts | Is an automatic adaptive procedure to detect outliers in time series |
| FSRtsbsb | Returns the units belonging to the subset in each step of the forward search |
| FSRtsmdr | Computes minimum deletion residual for time series models in each step of the search |
| LTSts | Extends LTS estimator to time series |
| LTStsLSmult | Extends LTSts to the detection of multiple Level Shifts in time series |
| LTStsVarSel | Does variable selection in the robust time series model LTSts |
| LXS | Computes the Least Median of Squares (LMS) or Least Trimmed Squares (LTS) estimators |
| mdpdR | Allows to apply Minimum Density Power Divergence criterion to parametric regression problems |
| mdpdReda | Allows to monitor Minimum Density Power Divergence criterion to parametric regression problems |
| MMreg | Computes MM estimator of regression coefficients |
| MMregcore | Computes MM regression estimators for a selected fixed scale |
| MMregeda | Computes MM estimator in linear regression for a series of values of efficiency |
| regressts | Computes estimates of regression parameters for a time series models |
| RobCov | Computes covariance matrix of robust regression coefficients |
| RobRegrSize | Provides proper threshold for robust estimators to obtain an empirical size close to 1 per cent nominal size |
| SETARX | Implements Threshold autoregressive models with two regimes |
| simulateLM | Simulates linear regression data with prespecified values of statistical indexes |
| simulateTS | Simulates a time series with trend, time varying seasonal, level shift and irregular component |
| Sreg | Computes S estimators in linear regression |
| Sregeda | Computes S estimators in linear regression for a series of values of bdp |
| Taureg | Computes Tau estimators in linear regression |
| tBothSides | Allows users to transform both sides of a (nonlinear) regression model |
| VIOM | Computes weights estimates under Variance-Inflation Model |
| ace | Computes alternative conditional expectation |
| avas | Computes additivity and variance stabilization for regression |
| avasms | Computes avas using a series of alternative options |
| boxcoxR | Finds MLE of lambda in linear regression (and confidence interval) using Box Cox, YJ or extended YJ transformation |
| FSRfan | Monitors the values of the score test statistic for each lambda |
| rlsmo | Computes a running-lines smoother with global cross-validation |
| Score | Computes the score test for transformation |
| ScoreYJ | Computes the score test for Yeo and Johnson transformation |
| ScoreYJall | Computes all the 4 score tests for YJ transformation |
| ScoreYJmle | Computes the likelihood ratio test fof H_0=lambdaP=lambdaP0 and lambdaN=lambdaN0 |
| ScoreYJpn | Computes the score test for YJ transformation for pos and neg observations |
| smothr | Produces smoothed values with constraints |
| supsmu | Smooths scatterplots using Friedman's supersmoother algorithm |
| FSRB | Gives an automatic outlier detection procedure in Bayesian linear regression |
| FSRBeda | Enables to monitor several quantities in each step of the Bayesian search |
| FSRBmdr | Computes minimum deletion residual and other basic linear regression quantities in each step of the Bayesian search |
| FSRBr | Bayesian forward search in linear regression reweighted |
| regressB | Computes Bayesian estimates of regression parameters |
| forecastH | Produce forecasts with confidence bands for regression model with heteroskedasticity |
| FSRH | Gives an automatic outlier detection procedure in heteroskedastic linear regression |
| FSRHbsb | Returns the units belonging to the subset in each step of the heteroskedastic forward search |
| FSRHeda | Enables to monitor several quantities in each step of the forward search |
| FSRHmdr | Computes minimum deletion residual and other basic linear regression quantities in each step of the heteroskedastic search |
| regressH | Fits a multiple linear regression model with heteroskedasticity |
| regressHart | Fits a multiple linear regression model using ART heteroskedasticity |
| regressHhar | Fits a multiple linear regression model with Harvey heteroskedasticity |
| boxtest | Performs Box test of equality of covariance matrices |
| FSCorAna | Performs automatic outlier based on the forward search in correspondence analysis |
| FSCorAnaeda | Performs forward search in correspondence analysis with exploratory data analysis purposes |
| FSCorAnaenv | Computes the empirical envelopes of Min MD outside subset and inertia explained during the search |
| FSM | Computes forward search estimator in multivariate analysis |
| FSMbsb | Gives the units belonging to subset at step(s) msel of the forward search |
| FSMeda | Performs forward search in multivariate analysis with exploratory data analysis purposes |
| FSMedaeasy | Is exactly equal to FSMeda but it is much less efficient |
| FSMenvmmd | Computes the theoretical envelopes of Minimum MD outside subset during the search |
| FSMinvmmd | Converts values of minimum Mahalanobis distance into confidence levels |
| FSMmmd | Monitors minMD |
| FSMmmdeasy | Is exactly equal to FSMmmd but it is much less efficient |
| mcd | Computes Minimum Covariance Determinant |
| mcdCorAna | Computes Minimum Covariance Determinant in correspondence analysis |
| mcdeda | Monitors Minimum Covariance Determinant for a series of values of bdp |
| MMmult | Computes MM estimators in multivariate analysis with auxiliary S-scale |
| MMmultcore | Computes multivariate MM estimators for a selected fixed scale |
| MMmulteda | Computes MM estimators in multivariate analysis for a series of values of eff |
| mve | Computes Minimum volume ellipsoid |
| mveeda | Monitors Minimum volume ellipsoid for a series of values of bdp |
| pcaFS | Performs Principal Component Analysis (PCA) on raw data |
| SDest | Computes Stahel-Donoho robust estimator of dispersion-location |
| Smult | Computes S estimators in multivariate analysis |
| Smulteda | Computes S estimators in multivariate analysis for a series of values of bdp |
| unibiv | Has the purpose of detecting univariate and bivariate outliers |
| barnardtest | Barnard's unconditional test |
| CorAna | Performs correspondence analysis |
| corrNominal | Measures strength of association between two unordered (nominal) categorical variables |
| corrOrdinal | Measures strength of association between two ordered categorical variables |
| CressieRead | Computes the power divergence family |
| crosstab2datamatrix | Recreates the original data matrix X from contingency table N |
| rcontFS | Generates a random two-way table with given marginal totals |
| SparseTableTest | Computes independence test for large and sparse contingency tables |
| MixSim | Generates k clusters in v dimensions with given overlap |
| MixSimreg | Generates k regression hyperplanes in p dimensions with given overlap |
| overlap | Computes the exact overlap given the parameters of the mixture |
| simdataset | Simulates and-or contaminates a dataset given the parameters of a finite mixture model with Gaussian components |
| simdatasetreg | Simulates a regression dataset given the parameters of a mixture regression model |
| FSRmdrrs | Performs random start monitoring of minimum deletion residual |
| lga | Performs linear grouping analysis |
| mdrrsplot | Plots the trajectory of minimum deletion residual from random starts |
| rlga | Performs robust linear grouping analysis |
| tclustreg | Performs robust linear grouping analysis |
| tclustregeda | Performs robust linear grouping analysis for a series of values of the trimming factor |
| tclustregIC | Computes tclustreg for different number of groups k and restriction factors c |
| ctlcurves | Computes Classification Trimmed Likelihood Curves |
| dempk | Performs a merging of components found by tkmeans |
| FSMmmdrs | Performs random start monitoring of minimum Mahalanobis distance |
| genSigmaGPCM | Generates covariance matrix for the 14 Gaussian Parsimonious Clustering Models |
| GowerIndex | Computes matrix of similarity indexes using Gower metric |
| overlapmap | Produces an interactive overlap map |
| restrdeter | Computes determinant restriction |
| restrdeterGPCM | Applies determinat restrictions for the 14 GPCM |
| restreigen | Computes eigenvalues restriction (without Dykstra algorithm) |
| restreigeneasy | Computes eigenvalues restriction (without Dykstra algorithm) |
| restreigenmemopt | Computes eigenvalues restriction (without Dykstra algorithm) |
| restrshapeExact | Computes constrained Gamma (shape) matrix with exact constraints |
| restrshapeGPCM | Produces the restricted shape matrix for the 14 GPCM |
| restrSigmaGPCM | Computes constrained covariance matrices for the 14 GPCM specifications |
| tclust | Computes trimmed clustering with scatter restrictions |
| tclusteda | Computes tclust for a series of values of the trimming factor |
| tclustIC | Computes tclust for different number of groups k and restriction factors c |
| tclustICgpcm | Computes tclust for different number of groups k and restr. factors $c_{det}$ and $c_{shw}$ |
| tclustICsol | Extracts a set of best relevant solutions |
| tclustICsolGPCM | Extracts a set of best relevant solutions from 3D array computed using function tclustICgpcm |
| tkmeans | Computes trimmed k-means |
| txmerge | Performs a (hierarchical) merging of the inflated number of components found by tkmeans or tclust |
| aceplot | Produces the aceplot to visualize the results of ace |
| add2yX | Adds objects (personalized clickable multilegends and text labels) to the yXplot |
| avasmsplot | Produces the augmented star plot and enables interactivity |
| barVariableWidth | Produces a bar plot with different widths and colors for each bar |
| cdsplot | Produces the candlestick plot for robust model selection in linear regression |
| fanBIC | Uses the output of FSRfan to choose the best value of the transformation parameter in linear regression |
| fanBICpn | Uses the output of FSRfan called with input option family 'YJpn' to choose la_P and la_N |
| fanplot | OLD FUNCTION (this function is replaced by fanplotFS and it is not updated anylonger) |
| fanplotFS | Plots the fan plot for transformation in linear regression or deletion t stat |
| histFS | Plots a histogram with the elements in each bin grouped according to a vector of labels |
| levfwdplot | Plots the trajectories of leverage along the search |
| mdrplot | Plots the trajectory of minimum deletion residual (mdr) |
| qqplotFS | Creates qqplot of studentized residuals with envelopes |
| resfwdplot | Plots the trajectories of the monitored scaled (squared) residuals |
| resindexplot | Plots the residuals from a regression analysis versus index number or any other variable |
| wedgeplot | Generates the double wedge plot of a time series |
| yXplot | Produces an interactive scatterplot of y against each variable of X in the input dataset |
| add2boxplot | Adds labels to the boxplot figure |
| add2spm | Adds objects (personalized clickable multilegends and text labels) to the scatter plot matrix |
| balloonplot | Creates a balloon plot of a contingency table |
| biplotFS | Calls biplotAPP.mlapp to show a dynamic biplot |
| boxplotb | Computes a bivariate boxplot |
| CorAnaplot | Draws the Correspondence Analysis (CA) graphs with confidence ellipses |
| covplot | Plots the trajectories of the elements of the covariance (correlation) matrix monitored |
| funnelchart | Displays a funnel chart |
| malfwdplot | Plots the trajectories of scaled Mahalanobis distances along the search |
| malindexplot | Plots the Mahalanobis distances for each row of the input data matrix |
| mmdplot | Plots the trajectory of minimum Mahalanobis distance (mmd) |
| mmdrsplot | Plots the trajectories of minimum Mahalanobis distances from different starting points |
| moonplot | Draws the Correspondence Analysis (CA) moonplot |
| scatterboxplot | Creates scatter diagram with marginal boxplots |
| spmplot | Produces an interactive scatterplot matrix with boxplots or histograms on the main diagonal and possibly robust bivariate contours |
| waterfallchart | Creates a waterfall chart |
| carbikeplot | Produces the carbike plot to find best relevant clustering solutions |
| carbikeplotGPCM | Produces the carbike plot to find best relevant clustering solutions |
| ctlcurvesplot | Plots the output of routine ctlcurves |
| tclustICplot | Plots information criterion as a function of c and k |
| tclustICplotGPCM | Plots information criterion as a function of $c_{det}$, $c_{shw}$, $c_{shb}$ and $k$ |
| corrcdf | Computes correlation coefficient probability distribution function |
| corrpdf | Computes correlation coefficient probability density function |
| FNChygecdf | Returns Fisher non-central hypergeometric cumulative distribution function |
| FNChygeinv | Computes the inverse of the Fisher non central hypergeometric cumulative distribution function (cdf) |
| FNChygepdf | Returns Fisher non-central hypergeometric probability density function |
| FNChygernd | Random arrays from the Fisher non central hypergeometric distribution |
| inversegamcdf | Computes inverse-gamma cumulative distribution function |
| inversegaminv | Computes the inverse of the inverse-gamma cumulative distribution function |
| inversegampdf | Computes inverse-gamma probability density function |
| logmvnpdfFS | Produces log of Multivariate normal probability density function (pdf) |
| mFNChygepdf | Returns Fisher multivariate non-central hypergeometric probability density function |
| mFNChygernd | Returns Fisher multivariate non-central hypergeometric random variate generation |
| mtR | Generates the same random numbers produced by R software with Mersenne Twister mt19937ar |
| mWNChygepdf | Returns Wallenius' multivariate non-central hypergeometric probability density function |
| mWNChygernd | Returns random arrays from the Wallenius non central hypergeometric distribution |
| ncx2mixtcdf | Computes cumulative distribution function of a linear combination of non-central chi-square +N(0,s) |
| twdcdf | Computes the cumulative distribution function of the Tweedie distribution |
| twdpdf | Computes the probability density function of the Tweedie distribution |
| twdrnd | Generates random variates from the Tweedie distribution |
| vervaatrnd | Simulates random variates from the Vervaat perpetuity distribution |
| vervaatsim | Returns a Vervaat perpetuity |
| vervaatxdf | Returns the pdf and cdf of a Vervaat perpetuity |
| WNChygecdf | Returns Wallenius' non-central hypergeometric cumulative distribution function |
| WNChygeinv | Computes the inverse of the Wallenius non central hypergeometric cumulative distribution function (cdf) |
| WNChygepdf | Returns Wallenius' non-central hypergeometric probability density function |
| WNChygernd | Random arrays from the Wallenius non central hypergeometric distribution |
| FE_int_vol | Computes the integrated variance from a diffusion process via the Fourier estimator using Dirichlet kernel |
| FE_int_vol_Fejer | Computes the integrated variance from a diffusion process via the Fourier estimator using Fejer kernel |
| FE_spot_vol | Estimates the instantaneous variance of a diffusion process by the Fourier estimator with Dirichlet kernel |
| FE_spot_vol_FFT | Estimates the instantaneous variance of a diffusion process by the Fourier estimator with Dirichlet kernel, using the FFT algorithm |
| FM_int_cov | Computes the integrated covariance of a bivariate diffusion process via the Fourier-Malliavin estimator |
| FM_int_lev | Computes the integrated leverage of a diffusion process via the Fourier-Malliavin estimator |
| FM_int_quart | Computes the integrated quarticity of a diffusion process via the Fourier-Malliavin estimator |
| FM_int_vol | Computes the integrated variance of a diffusion process via the Fourier-Malliavin estimator |
| FM_int_volvol | Computes the integrated volatility of volatility of a diffusion process via the Fourier-Malliavin estimator |
| FM_spot_cov | Computes the spot covariance of a bivariate diffusion process via the Fourier-Malliavin estimator |
| FM_spot_lev | Computes the spot leverage of a diffusion process via the Fourier-Malliavin estimator |
| FM_spot_quart | Computes the spot quarticity of a diffusion process via the Fourier-Malliavin estimator |
| FM_spot_vol | Computes the spot volatility of a diffusion process via the Fourier-Malliavin estimator |
| FM_spot_volvol | Computes the spot volatiity of volatility of a diffusion process via the Fourier-Malliavin estimator |
| Heston1D | Simulates observations and instantaneous variances from the Heston model |
| Heston2D | Simulates observations and instantaneous variances from the bivariate Heston model |
| OptimalCuttingFrequency | Computes the optimal cutting frequency for the Fourier estimator of integrated variance |
| brushFAN | Displays a GUI which enables brushing in the fanplot |
| brushRES | Displays a GUI which enables brushing in resfwdplot |
| brushROB | Displays a GUI which enables brushing in resindexplot |
| GUIautocorr | Shows the necessary calculations to obtain the autocorrelation in a GUI |
| GUIconcentration | Shows the necessary calculations to obtain the GINI concentration index in a GUI |
| GUIcorr | Shows the necessary calculations to obtain the correlation in a GUI |
| GUIcov | Shows the necessary calculations to obtain the covariance in a GUI |
| GUImad | Shows the necessary calculations to obtain MAD, S_M or S_Me in a GUI |
| GUIpowermean | Shows the necessary calculations to obtain the power (generalized) mean in a GUI |
| GUIquantile | Shows the necessary calculations to obtain $x_z$ quantile |
| GUIregress | Shows the necessary calculations to obtain simple linear regression statistics in a GUI |
| GUIskewness | Shows the necessary calculations to obtain the variance in a GUI |
| GUIstd | Shows the necessary calculations to obtain the standard deviation in a GUI |
| GUItrimmean | Shows the necessary calculations to obtain the trimmed mean in a GUI |
| GUIvar | Shows the necessary calculations to obtain the variance in a GUI |
| quickselectFS_demo | Illustrates the functioning of quickselectFS |
| quickselectFSw_demo | Illustrates the functioning of quickselectFSw |
| ASbdp | Finds the constant c associated to the supplied breakdown point for Andrew's sine function |
| ASc | Computes breakdown point and efficiency associated with constant c for Andrew's rho function |
| ASeff | Finds the constant c which is associated to the requested efficiency for Andrew's sine function |
| ASpsi | Computes psi function (derivative of rho function) for Andrew's sine function |
| ASpsider | Computes derivative of psi function (second derivative of rho function) for Andrew's sine function |
| ASpsix | Computes psi function (derivative of rho function) times x for Andrew's sine function |
| ASrho | Computes rho function for Andrew's sine function |
| ASwei | Computes weight function psi(u)/u for Andrew's sine function |
| basicPower | Computes the basic power transformation |
| bwe | Estimates the bandwidth smoothing parameter for kernel density estimation |
| CEVmodel | Computes price and instantaneous variance processes from the CEV model |
| ClusterRelabel | Enables to control the labels of the clusters which contain predefined units |
| ctsub | Computes numerical integration from x(1) to z(i) of y=f(x) |
| distribspec | Plots a probability density function between specification limits |
| ellipse | Generates an ellipse given mu (location vector) and Sigma (scatter matrix) |
| exactcdf | Finds exact p-values |
| FowlkesMallowsIndex | Computes the Fowlkes and Mallows index |
| FSMbonfbound | Computes Bonferroni bounds for each step of the search (in mult analysis) |
| FSRbonfbound | Computes Bonferroni bounds for each step of the search (in linear regression) |
| genr8next | Genr8 returns a vector of pseudorandom number sequence |
| GYfilt | Computes the Gervini-Yohai univariate outlier identifier |
| HAbdp | Finds the constant c associated to the supplied breakdown point |
| HAc | Computes breakdown point and efficiency associated with constant c |
| HAeff | Finds the tuning constant that guarrantees a requested asymptotic efficiency |
| HApsi | Computes psi function using Hampel proposal |
| HApsider | Computes derivative of psi function using Hampel proposal |
| HApsix | Computes psi function using Hampel proposal times x |
| HArho | Computes rho function using Hampel proposal |
| HAwei | Computes weight function psi(u)/u using Hampel proposal |
| HUc | Computes breakdown point and efficiency associated with constant c for Huber link |
| HUeff | Finds the constant c which is associated to the requested efficiency for Tukey biweight estimator |
| HUpsi | Computes psi function (derivative of rho function) for Huber |
| HUpsider | Computes derivative of psi function (second derivative of rho function) for Huber |
| HUpsix | Computes psi function (derivative of rho function) times x for Huber |
| HUrho | Computes rho function for Huber |
| HUwei | Computes weight function psi(u)/u for Huber |
| HYPbdp | Finds constant c which is associated to the requested breakdown point for hyp. tan. estimator |
| HYPc | Computes breakdown point and efficiency associated with constant chyperbolic tangent estimator (for a given value of k=sup CVC) |
| HYPck | Computes values of the scalars A, B, d for hyperbolic tangent estimator |
| HYPeff | Finds constant c which is associated to the requested efficiency for hyperbolic estimator |
| HYPk | Computes breakdown point and efficiency for hyp. tan. estimator |
| HYPpsi | Computes psi function for hyperbolic tangent estimator |
| HYPpsider | Computes derivative of psi function for hyperbolic tangent estimator |
| HYPpsix | Computes psi function for hyperbolic tangent estimator times x |
| HYPrho | Computes rho function using hyperbolic tangent estimator |
| HYPwei | Computes weight function psi(u)/u for hyperbolic tangent estimator |
| kdebiv | Computes (and optionally plots) a kernel smoothing estimate for bivariate data |
| mahalCorAna | Computes Mahalanobis distances (in squared units) for each row of matrix Y |
| mahalFS | Computes Mahalanobis distances (in squared units) for each row of matrix Y |
| mdpattern | Finds and plots missing data patterns |
| mdpd | Computes Minimum Distance Power Divergence statistics |
| medcouple | Computes the medcouple, a robust skewness estimator |
| Mlocation | Finds the M estimator of location in a univariate sample |
| Mlocsca | Computes M estimator of location and scale in univariate samples |
| Mscale | Finds the M estimator of the scale |
| msdcutoff | Mahalanobis Squared Distance cutoff |
| ncpci | Non centrality parameter confidence interval (taken from effect_of_size_toolbox) |
| normBoxCox | Computes (normalized) Box-Cox transformation |
| normYJ | Computes (normalized) Yeo-Johnson transformation |
| normYJpn | Computes (normalized) extended Yeo-Johnson transformation |
| OPTbdp | Finds the constant c associated to the supplied breakdown point |
| OPTc | Computes breakdown point and efficiency associated with constant c for Optimal rho function |
| OPTeff | Finds the constant c which is associated to the requested efficiency |
| OPTpsi | Computes psi function (derivative of rho function) for optimal weight function |
| OPTpsider | Computes derivative of psi function (second derivative of rho function) for optimal weight function |
| OPTpsix | Computes psi function (derivative of rho function) times x |
| OPTrho | Computes rho function for optimal weight function |
| OPTwei | Computes weight function psi(u)/u for optimal weight function |
| PDbdp | Finds the constant alpha associated to the supplied breakdown point for minimum power divergence estimator |
| PDc | Computes breakdown point and efficiency associated with tuning constant alpha for minimum power divergence estimator |
| PDeff | Finds the constant alpha which is associated to the requested efficiency for minimum power divergence estimator |
| PDpsi | Computes psi function (derivative of rho function) for minimum density power divergence estimator |
| PDpsider | Computes derivative of psi function (second derivative of rho function) for minimum power divergence estimator |
| PDpsix | Computes psi function (derivative of rho function) times x for minimum density power divergence estimator |
| PDrho | Computes rho function for minimum density power divergence estimator |
| PDwei | Computes weight function psi(u)/u for for minimum density power divergence estimator |
| pivotCoord | Transforms into Pivot coordinates as a special case of isometric logratio coordinates |
| pivotCoordInv | Transforms back the output of pivotCoord |
| Powertra | Computes power transformation (Box-Cox or Yeo-Johnson) |
| Qn | Robust estimator of scale (first quartile of interpoint distances $|x_i-x_j|$) |
| RandIndexFS | Calculates Rand type Indices to compare two partitions |
| RhoPsiWei | Finds rho, psi, psi', w functions given bdp, or eff or tuning constant c |
| RKbdp | Finds the constants c associated to the supplied breakdown point and asymptotic rejection point |
| RKeff | Finds the constants c and M which are associated to the requested efficiency and ARP |
| RKpsi | Computes psi function for Rocke (translated Tukey's) biweight |
| RKpsider | Computes derivative of psi function (second derivative of rho function) for Rocke (translated Tukey's) biweight |
| RKpsix | Computes psi function times x for Rocke (translated Tukey's) biweight |
| RKrho | Computes rho function for Rocke (translated Tukey's) biweight |
| RKwei | Computes weight function psi(u)/u for Rocke (translated Tukey's) biweight |
| rthin | Applies independent random thinning to a point pattern |
| Sn | Robust estimator of scale (robust version of Gini's average difference) |
| tabulateFS | Creates frequency table of unique values of x, excluding possible 0 counts |
| TBbdp | Finds the constant c associated to the supplied breakdown point for Tukey's biweight |
| TBc | Computes breakdown point and efficiency associated with constant c for Tukey's biweight |
| TBeff | Finds the constant c which is associated to the requested efficiency for Tukey's biweight |
| TBpsi | Computes psi function (derivative of rho function) for Tukey's biweight |
| TBpsider | Computes derivative of psi function (second derivative of rho function) for Tukey's biweight |
| TBpsix | Computes psi function (derivative of rho function) times x for Tukey's biweight |
| TBrho | Computes rho function for Tukey's biweight |
| TBwei | Computes weight function psi(u)/u for Tukey's biweight |
| winsor | Returns a winsorized copy of input |
| wthin | Thins a uni/bi-dimensional dataset |
| cabc | Closes all open figures except the one in foreground (the current) |
| cascade | Is a third party function used in FSDA demos and examples |
| clickableMultiLegend | Hides/shows symbols inside all gplotmatrix subplots (or similar multi-plots) clicking on the legend |
| existFS | Check if file exists and puts answer in a cached persistent variable |
| findDir | Finds recursively all directories in root |
| findFile | Finds recursively all files in root |
| isfunction | Checks if a function exists |
| m2ipynb | Convert selected m files into Jupyter notebook files |
| openMatlabFileFromHTML | Enables to put in HTML an hypertextual link to a specific MATLAB file |
| position | Controls the position of the open figures |
| quickselectFS | Finds the k-th order statistic |
| quickselectFSw | Finds the 100*p-th weighted order statistic for $0 |
| removeExtraSpacesLF | Removes extra spaces and selected carriage returns from input string |
| repDupValWithMean | Replaces values of y which have non unique elements in vector x with local means |
| setdiffFS | Finds the positive integers in a which are not present in the positive integers in b |
| suplabel | Places text as a title, xlabel, or ylabel on a group of subplots |
| tabledisp | Displays in good format a table or array in the command line |
| triu2vec | Extracts in a vector the linear indexes or the elements on and above the k-th diagonal of a square matrix |
| upperfracpos | Positions two figures on the upper part of the screen |
| verLessThanFS | Compares version of MATLAB to specified version number |
| wraptextFS | Formats long strings into wrapped text of specified width |
| zscoreFS | Computes (robust) standardized z scores |
| bc | Returns the Binomial coefficient |
| combsFS | Is an iterative algorithm equivalent to the MATLAB combs.m |
| lexunrank | Gives the the $k$-combination of $n$ elements of position $N$ in the lexicographic order of all combinations |
| nchoosekFS | Returns the Binomial coefficient or matrix containing all combinations |
| randsampleFS | Generates a random sample of k elements from the integers 1 to n (k<=n) |
| shuffling | Does a random permutation of the elements of input vector |
| subsets | Creates a matrix of indexes where rows are distinct p-subsets extracted from a set of n elements |
| htmlwriteFS | Is an obsolete function which will be removed in future releases. Use publishFS.m instead |
| makecontentsfileFS | Extends Matlab function makecontentsfile |
| mreadFS | Enables to create a structure with InputArgs/OptArgs/OutArgs ... from .m function files (OBSOLETE FUNCTION REPLACED BY publishFS.m) |
| publishBibliography | Enables to create web page which contains the references inside the input .m files |
| publishFS | Enables to create automatic HELP FILES from structured .m function files |
| publishFunctionAlpha | Enables to create web page which contains the alphabetical list of functions |
| publishFunctionCate | Enables to create web page which contains the categorical list of functions |
| setToolboxStartEnd | Sets release compatibility in ToolboxPackagingConfiguration.prj file |
| xmlcreateFS | Creates an XML file passing through publishFS |