# Man pages for sparsediscrimSparse and Regularized Discriminant Analysis

 center_data Centers the observations in a matrix by their respective... cov_autocorrelation Generates a p \times p autocorrelated covariance matrix cov_block_autocorrelation Generates a p \times p block-diagonal covariance matrix with... cov_eigen Computes the eigenvalue decomposition of the maximum... cov_intraclass Generates a p \times p intraclass covariance matrix cov_list Computes the covariance-matrix maximum likelihood estimators... cov_mle Computes the maximum likelihood estimator for the sample... cov_pool Computes the pooled maximum likelihood estimator (MLE) for... cov_shrink_diag Computes a shrunken version of the maximum likelihood... cv_partition Randomly partitions data for cross-validation. diag_estimates Computes estimates and ancillary information for diagonal... dlda Diagonal Linear Discriminant Analysis (DLDA) dmvnorm_diag Computes multivariate normal density with a diagonal... dqda Diagonal Quadratic Discriminant Analysis (DQDA) generate_blockdiag Generates data from 'K' multivariate normal data populations,... generate_intraclass Generates data from 'K' multivariate normal data populations,... h Bias correction function from Pang et al. (2009). hdrda High-Dimensional Regularized Discriminant Analysis (HDRDA) hdrda_cv Helper function to optimize the HDRDA classifier via... lda_pseudo Linear Discriminant Analysis (LDA) with the Moore-Penrose... lda_schafer Linear Discriminant Analysis using the Schafer-Strimmer... lda_thomaz Linear Discriminant Analysis using the Thomaz-Kitani-Gillies... log_determinant Computes the log determinant of a matrix. mdeb The Minimum Distance Empirical Bayesian Estimator (MDEB)... mdmeb The Minimum Distance Rule using Modified Empirical Bayes... mdmp The Minimum Distance Rule using Moore-Penrose Inverse (MDMP)... no_intercept Removes the intercept term from a formula if it is included plot.hdrda_cv Plots a heatmap of cross-validation error grid for a HDRDA... posterior_probs Computes posterior probabilities via Bayes Theorem under... print.dlda Outputs the summary for a DLDA classifier object. print.dqda Outputs the summary for a DQDA classifier object. print.hdrda Outputs the summary for a HDRDA classifier object. print.lda_pseudo Outputs the summary for a lda_pseudo classifier object. print.lda_schafer Outputs the summary for a lda_schafer classifier object. print.lda_thomaz Outputs the summary for a lda_thomaz classifier object. print.mdeb Outputs the summary for a MDEB classifier object. print.mdmeb Outputs the summary for a MDMEB classifier object. print.mdmp Outputs the summary for a MDMP classifier object. print.sdlda Outputs the summary for a SDLDA classifier object. print.sdqda Outputs the summary for a SDQDA classifier object. print.smdlda Outputs the summary for a SmDLDA classifier object. print.smdqda Outputs the summary for a SmDQDA classifier object. quadform Quadratic form of a matrix and a vector quadform_inv Quadratic Form of the inverse of a matrix and a vector rda_cov Calculates the RDA covariance-matrix estimators for each... rda_weights Computes the observation weights for each class for the HDRDA... regdiscrim_estimates Computes estimates and ancillary information for regularized... risk_stein Stein Risk function from Pang et al. (2009). sdlda Shrinkage-based Diagonal Linear Discriminant Analysis (SDLDA) sdqda Shrinkage-based Diagonal Quadratic Discriminant Analysis... smdlda Shrinkage-mean-based Diagonal Linear Discriminant Analysis... smdqda Shrinkage-mean-based Diagonal Quadratic Discriminant Analysis... solve_chol Computes the inverse of a symmetric, positive-definite matrix... tong_mean_shrinkage Tong et al. (2012)'s Lindley-type Shrunken Mean Estimator update_hdrda Helper function to update tuning parameters for the HDRDA... var_shrinkage Shrinkage-based estimator of variances for each feature from...
sparsediscrim documentation built on Aug. 14, 2017, 5:10 p.m.