81. Hybrid Monte Carlo - Hybrid Monte Carlo (HybridMC): sampling from continuous joint distributions using Hamiltonian (or Hybrid) Monte Carlo techniques.
83. GRASP - GRASP is a general method for making spatial predictions of response variables using point surveys of the response and spatial coverage of predictors.
84. Data Analysis Using Regression - R functions for processing lm, glm, and polr outputs. This is a lite version of arm that does not deal with mer class.
85. spgrass - Project to keep together three R packages that interface R and GRASS GIS: GRASS for GRASS 5.*, spgrass6 for GRASS 6.*, and rgrass7 for GRASS 7.
86. msm: Multi-state models - The &quot;msm&quot; package for continuous-time multi-state models for panel data. From 10 Oct 2016, development moved to https://github.com/chjackson/msm. The final r-forge release is CRAN version 1.6.4.
87. glmmBUGS - This package simplifies running generalized linear mixed models in WinBUGS. It writes WinBUGS model files, formats data in ragged arrays, uses glmmPQL to get starting values, and creates a function for generating random starting values.
88. Metrum Research Group - Pharmacometric tools for data preparation, modeling and simulation, plotting, reporting, and file system administration.
89. Estimation and Model Checking for GLSM - This package mainly deals with generalized linear spatial models for estimation, model checking and prediction by using MCMC algorithms.
90. Multivariate Projection Methods - mpm is an R package by Paul Lewi and Luc Wouters for exploratory multivariate analysis of large data matrices, such as gene expression data from microarray experiments.
91. systemfit: Estimating Equation Systems - The systemfit package contains functions for fitting systems of linear and nonlinear simultaneous equations using Ordinary Least Squares (OLS), Seemingly Unrelated Regressions (SUR), Two-Stage Least Squares (2SLS), and Three-Stage Least Squares (3SLS).
92. raster -- spatial data - The 'raster' package deals with basic spatial raster (grid) data access and manipulation. It defines raster classes; can deal with very large files (stored on disk); and includes standard raster functions such as overlay, aggregation, and merge.
94. rgl: 3D visualization support - rgl is a 3D visualization system based on OpenGL. It provides a medium to high level interface for use in R, currently modelled on classic R graphics, with extensions to allow for interaction.
95. genoPlotR - plot gene and genome maps - genoPlotR is a R package to produce reproducible, publication-grade graphics of gene and genome maps. It allows the user to read from usual format such as protein table files and blast results, as well as home-made tabular files.
96. Orthogonal Spline Basis - Orthogonal Spline Basis provides allows computing and fitting splines and penalized splines using orthogonalized bases. It also provides easy functions for exact computation of integrals and derivatives.
97. Lattice - R implementation of Trellis Graphics.
98. SeqinR: Biological Sequences in R - The seqinR package for the R environment contains utilities to retrieve and analyse biological sequences.
99. Regression Modeling Strategies - Regression modeling, testing, estimation, validation,	graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. rms is a collection of 229 functions that assist with and streamline modeling.