Title: Creation of Empirical Density Functions Based on Multivariate
Furthermore a simple kernel density estimation method is made available, as well as an expansion of Bentleys
method, which offers a kernel approach for the grid method.

Title: Performing Monte Carlo Expectation Maximization Random Forest
Authors@R: person("Mohamed", "Soudy", email = "MohmedSoudy2009@gmail.com", role=c("aut", "cre"))
Description: Perform missing value imputation for biological data using the random forest algorithm, the imputation aim to keep the original mean and standard deviation consistent after imputation.
Imports: missForest, ggpubr, progress, doParallel, foreach

Title: Miscellaneous esoteric statistical scripts
Description: A mixed collection of useful and semi-useful functions,
some of which may even be referenced in The R Primer book.

Suggests: MASS, Matrix, glmnet, parallel
Description: A mixed collection of useful and semi-useful functions, some of which may even be referenced in The R Primer book.

Title: Miscellaneous Esoteric Statistical Scripts
Description: A mixed collection of useful and semi-useful functions, some of
which may even be referenced in The R Primer book.

Author: Claus Thorn Ekstrøm <claus@rprimer.dk>
Imports: MASS, Matrix, Rcpp, glmnet, kinship2, methods, mvtnorm,
Suggests: knitr, lme4, magrittr, rmarkdown
Description: A mixed collection of useful and semi-useful diverse
statistical functions, some of which may even be referenced in

Authors@R: person(given="Claus Thorn", family="Ekstrøm", role = c("aut", "cre"), email = "claus@rprimer.dk")
Maintainer: Claus Thorn Ekstrøm <claus@rprimer.dk>
Suggests: knitr, lme4, magrittr, rmarkdown, testthat

Imports: MASS, Matrix, Rcpp, geepack, geeM, ggplot2, ggformula, glmnet,

Title: Multivariate Exponentially Weighted Moving Average (MEWMA)
Description: mewma package perform the Multivariate Exponentially
Weighted Moving Average (MEWMA) Control Chart

Title: Fits the Mixture of Experts Latent Position Cluster Model to
Maintainer: Isobel Claire Gormley <claire.gormley@ucd.ie>
Description: Fits the mixture of experts latent position cluster model to network data to cluster nodes into subgroups, while incorporating covariate information, in a mixture of experts model setting.
Imports: MASS, mvtnorm, mclust, nnet, ellipse, latentnet, vegan, e1071
Packaged: 2016-10-12 19:55:00 UTC; clairegormleyoldmac