R: Study Design for Personalised Synthetic Controls

# Study Design for Personalised Synthetic Controls

## Documentation for package ‘pscDesign’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

covSim | Simulate covariates from a Counter factual model
dataSim | Study design using Personalised Synthetic Controls
fpmH | Generate a cumulative hazard function from a flexible parametric model
fpmSurv | Generate a survival function from a flexible parametric model
gemCFM | gemCFM
modp | modp
postEval | A function to evaluate posterior distribution
pscDesign | Study design using Personalised Synthetic Controls
recForcast | Estimating recruitment rates based on the number of sites and average site recruitment rates.
trialSamp | Evaluation of a sampled dataset within pscDesign