Learning and using the Metropolis algorithm for
Bayesian fitting of a generalized linear model. The package vignette
includes examples of hand-coding a logistic model using several
variants of the Metropolis algorithm. The package also contains R
functions for simulating posterior distributions of Bayesian
generalized linear model parameters using guided, adaptive,
guided-adaptive and random walk Metropolis algorithms. The random walk
Metropolis algorithm was originally described in Metropolis et al
(1953); <doi:10.1063/1.1699114>.

Tim Bergsma, Bill Knebel, and Leonid Gibianski
Pharmacometric tools for common data preparation tasks,
stratified bootstrap resampling of data sets, NONMEM control
stream creation/editing, NONMEM model execution, creation of
standard and user-defined diagnostic plots, execution and
summary of bootstrap and predictive check results,
implementation of simulations from posterior parameter
distributions, reporting of output tables and creation of
detailed analysis logs.

Tim Bergsma, Bill Knebel, Leonid Gibiansky, Natalie Hsiang

Tim Bergsma, Bill Knebel, and Leonid Gibiansky
Pharmacometric tools for common data preparation tasks, stratified
bootstrap resampling of data sets, NONMEM control stream creation/editing,
NONMEM model execution, creation of standard and user-defined diagnostic plots,
execution and summary of bootstrap and predictive check results, implementation
of simulations from posterior parameter distributions, reporting of output
tables and creation of detailed analysis logs.

reshape, lattice, XML, MASS, methods, grid

Implementation of various statistical models for
multivariate event history data. Including multivariate
cumulative incidence models, and bivariate random effects
probit models (Liability models)
Rcpp (>= 0.9.2), RcppArmadillo (>= 0.3), lava, mvtnorm,
numDeriv, splines, timereg, ucminf, prodlim
'biprobit.R' 'biprobit.strata.R' 'bpnd.R' 'bptwin.R'
'claytonakes.R' 'coef.biprobit.R' 'cumh.R' 'Dbvn.R'
'fastapprox.R' 'ipw.R' 'logLik.biprobit.R' 'mets-packages.R'
'npc.R' 'onload.R' 'plot.bptwin.R' 'plotcr.R'
'print.biprobit.R' 'print.summary.biprobit.R'
'score.biprobit.R' 'sim.bptwin.R' 'sim.clayton.oakes.R'
'summary.biprobit.R' 'summary.bptwin.R' 'uniprobit.R' 'utils.R'
'vcov.biprobit.R' 'bicomprisk.R' 'event.R' 'procformula.R'
'twinlm.R' 'twinsim.R' 'methodstwinlm.R' 'sim-nordic-twin.R'
'concordance-scripts.R' 'cor.R'