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- base for many R packages listed in https://cran.r-project.org...
- Referenced in 1215 articles
- Functional Data Analysis with R and Matlab (Springer). The package includes data sets and script ... latter book. As of this release, the R-Project is no longer distributing the Matlab ... rapidly increasing number of R packages, of which the fda package is one. The three...
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- R package ElemStatLearn: Data sets, functions and examples from the book: ”The Elements of Statistical...
- Referenced in 986 articles
- R package bootstrap. bootstrap: Functions for the Book ”An Introduction to the Bootstrap”. Software (bootstrap ... Efron and R. Tibshirani, 1993, Chapman and Hall. This package is primarily provided for projects...
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- R package QRM: Provides R-language Code to Examine Quantitative Risk Management Concepts. This package...
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- R package SemiPar: Semiparametic Regression. The primary aim of this book is to guide researchers...
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- R package glmnet: Lasso and elastic-net regularized generalized linear models. Extremely efficient procedures...
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- R package robustbase: Basic Robust Statistics. ”Essential” Robust Statistics. The goal is to provide tools...
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- R package glasso  is popular, fast, and allows one to efficiently build a path...
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- spBayes: An R Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models. Scientists ... introduce a statistical software package, spBayes, built upon the R statistical computing platform that implements ... data. We discuss the algorithms behind our package and illustrate its use with a synthetic...
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- R package ismev: An Introduction to Statistical Modeling of Extreme Values. Functions to support...
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- R package sn: The Skew-Normal and Related Distributions, such as the Skew-t. Build...
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- R package MASS: Support Functions and Datasets for Venables and Ripley’s MASS , Functions...
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- regression has been distributed in the R package gss freely available through the Internet...
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- R package gamair: Data for ”GAMs: An Introduction with R”. Data sets and scripts used...
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- R package coda: Output analysis and diagnostics for MCMC , Output analysis and diagnostics for Markov...
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- R package mclust: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation , Normal...
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- Integration. The Rcpp package provides R functions as well as a C++ library which facilitate ... sessions as well as to support R package development. Attributes are built...
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- R package ggplot2: An implementation of the Grammar of Graphics , An implementation of the grammar ... graphics in R. It combines the advantages of both base and lattice graphics: conditioning...
- Referenced in 174 articles
- R package lme4: Linear mixed-effects models using S4 classes , Fit linear and generalized linear...