kkmann/workshop-r-swe

Stars
4
Rank 3,246,268 (Top 66 %)
Language
Lua
License
Creative Commons ...
Created over 1 year ago
Updated about 1 year ago

kkmann/workshop-r-swe

kkmann

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Website and materials of the workshop on GSWEP4R

adoptr

Adaptive optimal two-stage designs for clinical trials made easy.

describr

describr - publication quality descriptive tables with R

sample-size-calculation-under-uncertainty

Jupyter notebooks and companion shiny app for the manuscript 'A review of Bayesian perspectives on sample size derivation for confirmatory trials'.

Jupyter Notebook

adoptr-validation-report

R markdown-based validation report for the package adoptr.

unblinded-sample-size-adaptation

Sample Size Recalculation, When and How? https://arxiv.org/abs/2010.06567

quick-and-not-dirty-report

A template repository for quickly hosting a HTML version of a single .Rmd file on GitHub pages and make the repository interacitvely explorable using mybinder.org

pwcuratr

Curate gene pathway clusters using functional interactions

BinaryTwoStageDesigns

rmes

MVP for R package reliability knowledge-sharing protocol/platform

reproducibleresearch

material for reproducible research workshop @IEEE DSAA 2018

covid-19-screening-policies

Agent-based simulation results for school reopening policies during the Covid-19 pandemic.

cov19sim

agent-based simulation of covid-19 for small populations

mrc-bsu-presentation-template

xarigan-based HTML/PDF slides template

optimal-binary-two-stage-designs

Jupyter Notebook

farringtonManning