Title: Implementing the MI-Wilson Confidence Interval
Description: Implements the Wilson confidence interval
for binomial proportions given multiple imputations of missing data (detailed
theory provided in "Wilson Confidence Intervals for Binomial
Proportions With Multiple Imputation for Missing
Data" (A. Lott & J. Reiter, 2018)). Our package also implements a Wald confidence
interval and allows for both MIDs object and proportion vector arguments.

Title: Evaluation of the FIM in NLMEMs using MCMC
Author: Marie-Karelle Riviere-Jourdan and France Mentre <france.mentre@inserm.fr>
Copyright: All files are copyright Institut National de la Sante Et de
Description: Evaluation and optimization of the Fisher Information Matrix in NonLinear Mixed Effect Models using Markov Chains Monte Carlo for continuous and discrete data.
Packaged: 2015-08-31 18:49:21 UTC; Marie-Karelle

Title: Pharmacometric tools for data preparation, analysis, simulation, and reporting
Author: MetrumRG <billk@metrumrg.com> , <timb@metrumrg.com>
Description: 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 a detailed analysis log. All functions are considered stable unless marked as beta.
Packaged: Thu Sep 11 10:25:15 2008; billk

Depends: lattice, MASS, methods, reshape
Packaged: Mon Oct 20 12:56:20 2008; billk

Packaged: Mon Nov  3 15:15:47 2008; billk

Title: Pharmacometric tools for data preparation, modeling, simulation,
Author: Metrum Institute (http://metruminstitute.org): Bill Knebel,
Description: 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 a