Package: pscDesign 1.0.0

pscDesign: Study Design for Personalised Synthetic Controls

Tools for the design of prospective studies using Personalised Synthetic Controls. Can be used in either single arm or randomised studies.

Authors:Richard Jackson [cre, aut, cph]

pscDesign_1.0.0.tar.gz
pscDesign_1.0.0.zip(r-4.7-any)pscDesign_1.0.0.zip(r-4.6-any)pscDesign_1.0.0.zip(r-4.5-any)
pscDesign_1.0.0.tgz(r-4.6-any)pscDesign_1.0.0.tgz(r-4.5-any)
pscDesign_1.0.0.tar.gz(r-4.7-any)pscDesign_1.0.0.tar.gz(r-4.6-any)
pscDesign_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
pscDesign/json (API)

# Install 'pscDesign' in R:

install.packages('pscDesign', repos = c('https://richjjackson.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/richjjackson/pscdesign/issues

Datasets:

gemCFM - GemCFM

On CRAN:

4.30 score 1 stars 3 scripts 187 downloads 3 exports 141 dependencies

Last updated from:115e71798b. Checks:7 OK, 2 ERROR. Indexed: yes.

Target	Result	Time	Files	Syslog
linux-devel	OK	233
source / vignettes	OK	307
linux-release	OK	242
macos-release	ERROR	171
macos-oldrel	ERROR	160
windows-devel	OK	146
windows-release	OK	141
windows-oldrel	OK	135
wasm-release	OK	166

Exports:dataSim pscDesign recForcast

Dependencies:abind assertthat backports base64enc bbmle bdsmatrix bigD bitops boot broom bslib cachem car carData cards cardx checkmate cli colorspace commonmark corrplot cowplot cpp11 curl data.table Deriv deSolve digest distributional doBy dplyr enrichwith evaluate exactRankTests farver fastGHQuad fastmap flexsurv fontawesome forecast Formula fracdiff fs generics ggplot2 ggpubr ggrepel ggsci ggsignif ggtext glue gridExtra gridtext gt gtable gtsummary highr htmltools htmlwidgets isoband jpeg jquerylib jsonlite juicyjuice knitr labeling lattice lifecycle litedown lme4 lmtest lsoda magrittr markdown MASS Matrix MatrixModels matrixStats maxstat memoise mgcv mime minqa modelr mstate muhaz mvtnorm nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig png polynom posterior psc purrr quadprog quantreg R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reactable reactR reformulas rlang rmarkdown rstatix rstpm2 S7 sass scales SparseM statmod stringi stringr survival survminer tensorA tibble tidyr tidyselect timeDate tinytex urca utf8 V8 vctrs viridisLite withr xfun xml2 yaml zoo

pscDesign: A tool for Synthetically Controlled Trials | Trial Design | 'Traditional' design comparisons | Randomised pahse II study design | Syntheticall Controlled Trial Design | Single Arm Trial Design | recruitment forecast | Power estimates | Randomised Trial Design

Rendered frompscDesign.Rmdusingknitr::rmarkdown

Last update: 2026-01-23
Started: 2025-11-25

Citation

Development and contributors

Readme and manuals

Help Manual

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

Usage by other packages (reverse dependencies)