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pact (version 0.5.0)

Predictive Analysis of Clinical Trials

Description

A prediction-based approach to the analysis of data from randomized clinical trials is implemented. Based on response and covariate data from a randomized clinical trial comparing a new experimental treatment E versus a control C, the objective is to develop and internally validate a model that can identify subjects likely to benefit from E rather than C. Currently, survival and binary response types are permitted.

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Install

install.packages('pact')

Monthly Downloads

16

Version

0.5.0

License

GPL-3

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Last Published

April 15th, 2016

Functions in pact (0.5.0)

pact.cv

Cross-validation for pact
print.eval.cv

Print an object of class 'eval.cv'
KfoldCV

Split a dataset into k parts for k-fold cross-validation
prostateCancer

Prostate cancer dataset
pact

Predictive Analysis of Clinical Trials
GSE10846

GSE10846 dataset
overall.analysis

Overall statistics and inference
eval.pact.cv

Evaluation functions for cross-validated predictions
predict.pact

Predictions from a predictive model fit
pact.fit

Fits a predictive model to the full dataset
EORTC10994

EORTC10994 dataset
print.pact

Print an object of class 'pact'
summary.pact

Summarize a predictive model fit