| aad | Average Absolute Deviation |
| AIC.glmBayes | Calculate Akaike Information Criterion for glmBayes models |
| AIC.gpls | Calculate Akaike Information Criterion for gpls models |
| alfa | Alpha Factor Analysis |
| apclm | Bayesian Linear Regression with Adaptive Powered Correlation... |
| bats_map | Bayesian Adaptive T-Shrinkage Regression |
| bci | Bootstrap Confidence Intervals (Bias-Corrected & Accelerated) |
| BIC.glmBayes | Calculate Bayesian Information Criterion for glmBayes models |
| BIC.gpls | Calculate Bayesian Information Criterion for gpls models |
| blasso_map | Bayesian LASSO maximum a posteriori estimator |
| bread.gpls | Bread for Sandwiches |
| bridge_map | Bayesian Bridge Regression maximum a posteriori estimator |
| centerKernel | Center a Kernel Matrix |
| chisqPlot | Chi-Squared Plot for Outlier Detection |
| colMads | Column Median Absolute Deviations |
| colMedians | Column Medians |
| confint.glmBayes | Credible Intervals for Model Parameters |
| confint.gpls | Confidence Intervals for Model Parameters |
| cor2cov | Rebuild a covariance matrix from a correlation matrix and... |
| cov2pcor | Convert a covariance or correlation matrix to partial... |
| cov.ahuber | Calculate Adaptive Huber Covariance Matrix |
| cov.bacon | Blocked Adaptive Computationally-Efficient Outlier Nominators |
| cov.comed | Co-Median Robust Covariance Matrix |
| cov.mrcd | Minimum Regularized Covariance Determinant Estimator |
| cov.mrgv | Minimum Regularized Generalized Variance Covariance Estimator |
| cov.mvv | Minimum Variance Vector Covariance Estimator |
| cov.ogk | Ortogonalized Gnanadesikan-Kettenring (OGK) Robust... |
| cov.rmb | Reweighted Median Ball Covariance Estimator |
| cov.rocke | Rocke's Multivariate Translated Biweight S-Estimator |
| cov.shr | Yohai's Smoothed Hard Rejection Multivariate M-Estimator |
| covShrink | Shrinkage Estimation of the Covariance Matrix |
| cov.st | Multivariate Student's T Distribution Covariance Estimator |
| cov.wcomed | Weighted Co-Median Robust Covariance Matrix |
| cov.wogk | Weighted Ortogonalized Gnanadesikan-Kettenring (WOGK) Robust... |
| CR | Contour Regression |
| create_ellipse | Create coordinates for a tolerance ellipse |
| crSpline | Generate a Basis Matrix for Penalized Cubic Regression... |
| cv_APC | Cross Validate Power Parameter of Adaptive Powered... |
| cv_bridge | Cross Validate Bridge Regression |
| cv_dantzig | Cross Validate Power Exponential Likelihood LASSO (Lq norm... |
| cv_dnn | Cross Validate Tuning Parameters of Deep Neural Network |
| cv_elasticnet | Cross validate elastic net tuning parameters |
| cv_gdp | Cross Validate Generalized Double Pareto Shrinkage Regression |
| cv_genet | Cross validate generalized elastic net tuning parameters |
| cv_gpls | Cross Validation for Generalized Projection to Latent... |
| cv_grpenet | Cross Validate Group Elastic Net Regression |
| cv_lqlasso | Cross Validate Power Exponential Likelihood LASSO (Lq norm... |
| cv_nnet | Cross Validate Number of Neurons in Neural Network |
| cv_pense | Cross Validate Penalized Elastic Net S-Estimator (PENSE) |
| cv_pense_fa | Cross Validate Penalized Elastic Net S-Estimator with a Fixed... |
| cv_pense_mstep | Cross Validate Penalized Elastic Net S-Estimator (PENSEM) |
| cvreg | cvreg-package |
| cv_rlasso | Cross Validate Robust LASSO Regression |
| cv_rmcp | Cross Validate Robust Minimax Concave Penalized Regression |
| cv_rscad | Cross Validate Robust Smoothly Clipped Absolute Deviation... |
| dal | Asymmetric Laplace probability density function |
| ddPlot | Distance-Distance Plot |
| dens2d | Bivariate kernel density plot |
| dev.res | Calculate deviance residuals for gpls models |
| dfbetas | Assess influence of observations on parameter estimates for... |
| dhalft | Half Student's-T distribution probability density function |
| dhuber | Huber's distribution PDF |
| dimbox | Minkowski–Bouligand Box Counting Dimension |
| discretize | Discretize a numeric variable for SIR and SAVE |
| disr | Variable Screening With Diversity Induced Self-Representation |
| dist2kern | Convert a distance matrix to a kernel matrix |
| dot-linkfun_gpls | link function utility for gpls models |
| dot-linkinv_gpls | inverse link functions for gpls models |
| dot-mueta_gpls | utility function for the derivative of linear predictor in... |
| dot-probcalc | utility function for calculating probabilities in binomial... |
| dotprod | Matrix dotproduct |
| dot-variance_gpls | variance function for glm families in gpls models |
| dot-yinitfunc | initial value utility function for gpls models |
| dpmeans | Dirichlet Process K-Means Clustering |
| dpowexp | Power Exponential probability density function |
| dpsi.Bisquare | Tukey's Bisquare Psi' Function |
| dpsi.Hampel | Hampel's Psi' Function |
| dpsi.Huber | Huber's Psi' Function |
| dpsi.opt | Optimal Psi' Function |
| dpsi.powexp | Power Exponential Psi' Function |
| DR | Directional Regression |
| dshash | Sinh-Arcsinh (SHASH) probability density function |
| dslash | Slash distribution PDF |
| dsnorm | Skew Normal probability density function |
| dst | Student-T probability density function |
| dtnorm | Truncated Gaussian probability density function |
| ecdf2d | Bivariate empirical cumulative density function plot |
| empLPP | Empirical Locality Preserving Projection |
| ENV | Envelope Regression for Sufficient Dimension Reduction |
| estfun.gpls | Extract Empirical Estimating Functions |
| expectile | Expectiles |
| facanal | Factor analysis via Expectation Maximization |
| formatNumber | Format very large or small numbers as approximate fractions |
| gdp_map | Bayesian Generalized Double Pareto LASSO maximum a posteriori... |
| genet | Generalized Elastic Net/Bridge Penalty for GLMs |
| geom_hull | Convex hull (aka convex envelope) geom for ggplot2 |
| ggBiplot | PCA biplots with ggplot2 |
| ggplot2-ggproto | StatEllipse2 |
| GLENV | Generalized Linear Envelopes for Sufficient Dimension... |
| glmBayes | glmBayes: Bayesian Generalized Linear Models |
| glmnet.cme | Misclassification Robust Loss Function for Binomial Glmnet... |
| gpcr | Generalized Principal Components Regression |
| gpcr.boot | Bootstrap Generalized Principal Components Regression... |
| gpls | gpls: Generalized Projection to Latent Structues |
| gpls.default | gpls function for internal use |
| gpls.formula | Projection to Latent Structues for Generalized Linear Models |
| gplsSoftmax | gpls function for internal use |
| gpSpline | Generate a Basis Matrix for a Gaussian Process |
| gram.schmidt | Gram-Schmidt Orthonormal Matrix Decomposition |
| grpGLM | Grouped Generalized Linear Models |
| grpOLS | Grouped Ordinary Least Squares |
| grpQreg | Grouped Quantile Regression |
| grpRobGLM | Grouped Generalized Linear Models |
| grpTheilSen | Grouped Theil-Sen Robust Regression |
| gtdot | Generalized T Kernel (kernlab compatible) |
| hadivalues | Hadi's influence measure |
| hdmedian | Returns the Harrell-Davis Estimate of the Median |
| hdquantile | Returns the Harrell-Davis Quantile Estimates |
| HENV | Envelope Estimation of Multivariate Means with Between-Level... |
| hist | Modified Version of hist() with additional functionality |
| hist.default | Modified Version of hist() with additional functionality |
| ifa | Independent Factors Analysis |
| IHT | Iterative Hessian Transformation Regression |
| kern2dist | Convert a kernel matrix to a distance matrix |
| KIR | Kernel Inverse Regression |
| kmo | Kaiser Meyer Olkin Sampling Adequacy Index |
| L1median | Returns the spatial median (multivariate L1-median) |
| Laplace-Kernel | Quickly calculate a Laplacian kernel without kernlab |
| ldarob | Robust Linear Discriminant Analysis |
| lmSolve | Minimum Norm Regresion with Moore-Penrose Inverse |
| lmXtra | Linear Regression with Non-Gaussian Continuous Distributions |
| logLikFun | Calculate observation-wise log likelihood values |
| logLikFun.glmBayes | Calculate observation-wise log likelihood values for glmBayes... |
| logLikFun.gpls | Calculate observation-wise log likelihood values for gpls... |
| logLik.glmBayes | Calculate model log likelihood for glmBayes models |
| logLik.gpls | Calculate model log likelihood for gpls models |
| LSIR | Localized Sliced Inverse Regression |
| mahalanobis_dist | Calculate Mahalanobis distances (tolerant to non positive... |
| make_colors | Generate 'n' colors |
| margeffPlot | Plot marginal effects / partial dependence curves |
| match.closest | Return the closest value within a vector to a given input |
| materndot | ARD Matern Kernel (Kappa fixed at 3/2) (kernlab compatible) |
| matpower | Raise a symmetric matrix to the pth power |
| meatHC.gpls | Heteroskedasticity-Consistent Covariance Matrix Estimation |
| MOP | Mean Orthogonal Projection (Combine Dimension Reducton... |
| mpd | Coerce a non-positive definite symmetric matrix to positive... |
| mvSmoothWt | Create casewise weights based on mahalanobis distances |
| nclass.dhist | Density-based adaptive width histogram bins |
| nfac.est | Estimate the number of latent factors for exploratory factor... |
| OPG | Outer Product of Gradients Regression |
| orthCompl | Calculate the orthogonal complement of a positive definite... |
| outlierPlot | Panel of plots displaying multivariate outliers among the... |
| pal | Asymmetric Laplace cumulative probability function |
| pal_gameboy | A color palette for theme_gameboy |
| pal_gameboy2 | A color palette for theme_gameboy2 |
| pbLocScale | Robust percentage bend estimate of location and scale |
| pca | Ordinary Principal Components Analysis |
| pcaCurve | Curvilinear Principal Components Analysis |
| pcaKern | Kernel Principal Components Analysis |
| pcaL1 | L1 Principal Components Analysis |
| pcaLocal | Locally Principal Components Analysis |
| pcaMix | Mixed Principal Components Analysis |
| pcaoutliers | Outlier plot for PrincipalComp and facanal objects |
| pcaR1 | Rotation Invariant L1-Principal Components Analysis |
| pcaRobSparse | Sparse Robust Principal Principal Components Analysis |
| pcaRobust | Robust Principal Components Analysis... |
| pcaSparse | Sparse Principal Components Analysis |
| pcaSphere | Spherical Principal Components Analysis |
| pcurves | Principal Curves Analysis |
| pdcheck | Check if a matrix is positive definite |
| penreg | penreg: cross-validated regression models |
| pfa | Principal Factors Analysis (Principal Axis Factoring) |
| PFC | Principal Fitted Components Regression |
| phalft | Half Student's-T distribution cumulative density function |
| phuber | Huber's distribution CDF |
| PIR | Parametric Inverse Regression |
| plot.covRobust | plot method for covRobust objects |
| plot.glmBayes | Plot posterior densities of glmBayes models |
| plot.gpls | plot method for gpls objects |
| plot.sdr | plot method for sdr objects |
| Polynomial-Kernel | Quickly calculate a polynomial kernel without kernlab |
| ppca | Probabilistic Principal Components Analysis via Expectation... |
| pPIR | Partial Parametric Inverse Regression |
| ppowexp | Power Exponential cumulative probability function |
| predict.apclm | Predict method for apclm models |
| predict.glmBayes | Predict method for glmBayes models |
| predict.gpcr | Predict Method for gpcr Fits |
| predict.gpls | Predict method for gpls models |
| predict.gplsSoftmax | Predict method for softmax (multinomial) gpls models |
| predict.ldarob | Prediction method for ldarob objects |
| predict.penreg | predict method for penreg class models |
| predict.qdarob | Prediction method for qdarob objects |
| predict.roblm | Predict method for roblm models |
| predict.sdr | predict method for sdr objects |
| predict.sqrtenet | predict method for sqrtenet class models |
| print.apclm | print method for apclm objects |
| print.covRobust | print method for covRobust objects |
| print.dpmeans | Print method for dpmeans objects |
| print.facanal | print method for facanal objects |
| print.glmBayes | Print method for glmBayes models |
| print.gpcr | Print method for gpcr models |
| print.gpcrBoot | Print method for gpcrBoot models |
| print.gpls | Print method for gpls models |
| print.gplsSoftmax | Print method for gplsSoftmax models |
| print.ldarob | Print method for ldarob objects |
| print.penreg | print method for penreg objects |
| print.PrincipalComp | print method for PrincipalComp objects |
| print.qdarob | Print method for qdarob objects |
| print.quantilereg | print method for quantilereg objects |
| print.robglm | print method for robglm objects |
| print.roblm | print method for roblm objects |
| print.sdr | print method for sdr objects |
| print.sqrtenet | print method for sqrtenet objects |
| projectToCurve | Project a set of points to the closest point on a curve |
| Promax | Promax Factor Rotation (GPArotation format) |
| pSAVE | Partial Sliced Average Variance Estimator |
| pseudoinverse | pseudoinverse |
| pshash | Sinh-Arcsinh (SHASH) cumulative probability function |
| psi.Bisquare | Tukey's Bisquare Psi Function |
| psi.Hampel | Hampel's Psi Function |
| psi.Huber | Huber's Psi Function |
| psi.opt | Optimal Psi Function |
| psi.powexp | Power Exponential Psi Function |
| pSIR | Partial Sliced Inverse Regression |
| pslash | Slash distribution CDF |
| psnorm | Skew Normal cumulative probability function |
| pst | Student-T cumulative probability function |
| ptnorm | Half Student's-T cumulative probability function |
| qal | Asymmetric Laplace quantile function |
| qb | QB decomposition |
| qcor | Quantile Correlation |
| qcov | Quantile Covariance |
| qdarob | Robust Quadratic Discriminant Analysis |
| qhalft | Half Student's-T distribution inverse cumulative density... |
| qhuber | Huber's distribution distribution ICDF |
| qpowexp | Power Exponential quantile function |
| qreg | Quantile Regression |
| qreg.boot | Bootstraping for Quantile Regression (Asymmetric Laplace... |
| qshash | Sinh-Arcsinh (SHASH) quantile function |
| qsnorm | Skew Normal quantile function |
| qst | Student-T quantile function |
| qtnorm | Truncated Gaussian quantile function |
| Radial-Basis-Function-open-paren-Gaussian-close-paren-Kernel | Quickly calculate a Gaussian kernel without kernlab |
| ral | Asymmetric Laplace random number generator |
| rankest.env | Estimate dimensions for an ENV model |
| rankest.gpcr | Estimate number of principal components to retain for gpcr |
| rankest.gpls | Choose optimal number of latent variables for gpls models |
| rankest.grpglm | Estimate dimensions for a (robust) group GLM model |
| rankest.grpols | Estimate dimensions for a group OLS, Qreg, or Theil-Sen model |
| rankest.henv | Estimate dimensions for a HENV model |
| rankest.sdr | Estimate the true number of dimensions for sdr models |
| rcorr | Generate a random correlation matrix |
| rdarob | Robust Regularized Discriminant Analysis |
| reglev | Identify good and bad leverage points and regression outliers |
| RENV | Robust Envelope Regression for Sufficient Dimension Reduction |
| residuals.gpls | Calculate residuals for gpls models |
| RGLENV | Generalized Linear Envelopes for Robust Sufficient Dimension... |
| rhalft | Half Student's-Tdistribution random number generator |
| rho.Bisquare | Tukey's Bisquare Rho Function |
| rho.Hampel | Hampel's Rho Function |
| rho.Huber | Huber's Rho Function |
| rho.opt | Optimal Rho Function |
| rho.powexp | Power Exponential Rho Function |
| rhuber | Huber's distribution RNG |
| ridge.bim | Robust Ridge Regression |
| ridge.m | Ridge Regression M-Estimator with Huber's psi |
| rliu.rob | Robust Liu's Modified Ridge Estimator |
| robBridge | Robust Bridge Regression estimator |
| robcor | Estimate a Robust Correlation Matrix |
| robfa | Robust Factor Analysis |
| robglm | Robust Generalized Linear Models |
| robglm.boot | Bootstrapping Robust Generalized Linear Models |
| roblm | Huber's Regression M-Estimator |
| roblm.bim | Bounded Influence Generalized M-Estimator with Huber's psi... |
| roblm.bimboot | Bootstraping for Bounded Influence Generalized M-Estimator... |
| roblm.boot | Bootstraping for Regression M-Estimator with Huber's psi |
| roblm.ch | Coakley & Hettmansperger's Generalized M-Regression Estimator |
| roblm.chboot | Bootstraping for Coakley & Hettmansperger's Generalized... |
| roblm.lqd | Least Quartile Difference Regression GS-Estimator |
| roblm.lta | Least Trimmed Sum of Absolute Residuals Regression... |
| roblm.ts | Theil & Sen's Nonparametric Robust Regression Estimator |
| roblm.whm | Weighted Heteroskedastic M-Regression Estimator |
| robpr | Robust Penalized Regression Estimator |
| rpowexp | Power Exponential random number generator |
| RSAVE | Regularized Sliced Average Variance Estimator |
| rshash | Sinh-Arcsinh (SHASH) random number generator |
| RSIR | Regularized Sliced Inverse Regression |
| rslash | Slash distribution RNG |
| rsnorm | Skew Normal random number generator |
| rst | Student-T random number generator |
| rtnorm | Truncated Gaussian random number generator |
| saferoot | Improved One Dimensional Root (Zero) Finding |
| SAVE | Sliced Average Variance Estimator |
| Scale | Scale a data frame or matrix |
| Scale2 | Scale a data frame or matrix with custom scaling and... |
| scatMat | Visualize your data with a scatterplot matrix |
| scatPlot | Bivariate Scatterplot |
| scatPlotH | Scatterplots with Marginal Histograms |
| scree.boot | Generate a Screeplot with Bias Corrected Bootstrap Confidence... |
| sdr | sdr: methods for sufficient dimension reduction |
| sglasso | Standardized Group LASSO |
| sgpls | Sparse Generalized Projection to Latent Structures |
| sigdot | Sigmoid Kernel (kernlab compatible) |
| Sigmoid-open-paren-Hyperbolic-Tangent-close-paren-Kernel | Quickly calculate a sigmoid kernel without kernlab |
| sim.gauss | Simulate data for benchmarking Gaussian regression models. |
| SIMR | Sliced Inverse Median Regression |
| sim.sgauss | Simulate data for benchmarking Skew Normal regression models. |
| sim.student | Simulate data for benchmarking Student-T regression models. |
| simX | Simulate a design matrix of correlated continuous covariates... |
| simY | Generate response variable from design matrix, coefficients,... |
| SIR | Sliced Inverse Regression |
| SIRII | Sliced Inverse Regression 2 |
| spheredot | Spherical Kernel (kernlab compatible) |
| Spherical-Kernel | Quickly calculate a spherical kernel without kernlab |
| sqrtEnet | Square-Root Elastic Net |
| sqrtPENSE | Square-Root Penalized Elastic Net S-estimator |
| sqrtPENSEM | Square-Root Penalized Elastic Net MM-estimator |
| stat_ellipse2 | Compute robust data ellipses |
| stat_filledcontour | filled contour stat for ggplot2 |
| Student-single-quote-s-T-Kernel | Quickly calculate a Student T kernel without kernlab |
| subspace.angle | Measure the angle between two projections |
| subspace.dist | Measure the distance between two orthonormal projections |
| summary.glmBayes | Summary for glmBayes models |
| summary.gpcr | Summary method for gpcr models |
| summary.gpcrBoot | Summary method for gpcrBoot models |
| summary.gpls | Summary method for gpls models |
| summary.gplsSoftmax | Summary method for gplsSoftmax models |
| summary.ldarob | Summary method for ldarob objects |
| summary.qdarob | Summary method for qdarob objects |
| summary.roblm | summary method for roblm objects |
| svdL1 | L1-Norm Singular Value Decomposition |
| symm | Symmetrize a matrix with asymmetric numerical errors... |
| tauLocScale | Robust tau-estimate of location and scale |
| tdot | Student's T (kernlab compatible) |
| theme_baseplot | a lattice graphics inspired ggplot2 theme |
| theme_gameboy | a ggplot2 theme based on the game boy classic screen |
| theme_gameboy2 | a ggplot2 theme based on the gameboy light screen |
| theme_gridpaper | a ggplot2 theme that looks like graph paper |
| theme_lattice | a lattice graphics inspired ggplot2 theme |
| theme_sand | a ggplot2 theme with sand-like palette (version 1) |
| theme_sand2 | a ggplot2 theme with sand-like palette (version 2) |
| theme_simple | a simple ggplot2 theme |
| trainSubset | Create Training-Test Split |
| triplot | triplot: 3D biplots for PCA and more |
| vcovHC.gpls | Heteroskedasticity-Consistent Covariance Matrix Estimation |
| vecnorm | Vector Lp norm |
| vitals | Quickly calculate the rank, condition, positive definiteness,... |
| weighted.quantile | weighted quantile |
| wsvd | Weighted Singular Value Decomposition |
| wt.Bisquare | Tukey's Bisquare Weight Function |
| wt.Hampel | Hampel's Weight Function |
| wt.Huber | Huber's Weight Function |
| wt.opt | Optimal Weight Function |
| wt.powexp | Power Exponential Weight Function |
| XtXinv | Obtain the inverse crossproduct of a matrix |
| yjScale | Apply Yeo-Johnson transformation to data frame or matrix |
