Description: There are 4 possible methods: "ExhaustiveSearch"; "ExhaustivePhi";    "ClusteringSearch"; and "ClusteringPhi".

Title: Pharmacometric Power calculations for mixed study designs
Description: This package contains functions performing power calculations for mixed (sparse/dense sampled) pharmacokinetic study designs. The input data for these functions is tailored for NONMEM .phi files.
Copyright: 2014 Frank Kloprogge & Joel Tarning
Packaged: 2014-03-13 10:38:54 UTC; pharmacology

Title: Large-Scale Analysis of Pharmacogenomic Data
Author: Petr Smirnov, Zhaleh Safikhani, Benjamin Haibe-Kains
Description: Contains a set of functions to perform large-scale analysis of pharmacogenomic data.
Imports: Biobase, piano, magicaxis, RColorBrewer, parallel, caTools,
methods, downloader, stats, utils, graphics, grDevices

Title: Analysis of Large-Scale Pharmacogenomic Data

biocViews: GeneExpression, Pharmacogenetics, Pharmacogenomics, Software

methods, downloader, stats, utils, graphics, grDevices, lsa

Title: Simulating and Conducting Phase 123 Trials
Description: Contains three simulation functions for implementing the entire Phase 123 trial and the separate Eff-Tox and Phase 3 portions of the trial, which may be beneficial for use on clusters. The functions AssignEffTox() and RandomizeEffTox() assign doses to patient cohorts during phase 12 and Reoptimize() determines the optimal dose to continue with during Phase 3. The functions ReturnMeansAgent() and ReturnMeanControl() gives the true mean survival for the agent doses and control and ReturnOCS() gives the operating characteristics of the design.
Imports: Rcpp (>= 0.12.9),survival, stats

Title: Simulates SPSO and Efftox Phase 12 Trials with Correlated
Description: Simulating and conducting four phase 12 clinical trials with correlated binary bivariate outcomes described. Uses the 'Efftox' (efficacy and toxicity tradeoff, <https://biostatistics.mdanderson.org/SoftwareDownload/SingleSoftware/Index/2>) and SPSO (Semi-Parametric Stochastic Ordering) models with Utility and Desirability based objective functions for dose finding.