Modeling

  • blme: Bayesian Linear Mixed-Effects Models
  • brms: Bayesian Regression Models using Stan
  • bayesboot: An Implementation of Rubin's (1981) Bayesian Bootstrap
  • bayesm: Bayesian Inference for Marketing/Micro-Econometrics
  • BayesSummaryStatLM: MCMC Sampling of Bayesian Linear Models via Summary Statistics
  • CARBayes: Spatial Generalised Linear Mixed Models for Areal Unit Data
  • datarobot: DataRobot Predictive Modeling API
  • deeplearning: An Implementation of Deep Neural Network for Regression and Classification
  • gamlss.dist: Distributions to be Used for GAMLSS Modelling
  • gbm: Generalized Boosted Regression Models
  • glmmML: Generalized linear models with clustering
  • glmmstan: Generalized liner mixed model in Rstan
  • kernlab: Kernel-Based Machine
  • lme4: Linear Mixed-Effects Models using 'Eigen' and S4
  • MCMCpack: Markov chain Monte Carlo (MCMC) Package
  • modelr: Modelling Functions that Work with the Pipe
  • lasso2: L1 constrained estimation aka `lasso'
  • RecordLinkage: Record Linkage in R
  • rjags: Bayesian Graphical Models using MCMC
  • rstan: R Interface to Stan
  • rstanarm: Bayesian Applied Regression Modeling via Stan
  • RWeka: R/Weka Interface
  • VGAM: Vector Generalized Linear and Additive Models
  • Zelig: Everyone's Statistical Software
  • zic: Bayesian Inference for Zero-Inflated Count Models
  • zoib: Bayesian Inference for Beta Regression and Zero-or-One Inflated Beta Regression