Learn R Programming
⚠️There's a newer version (1.1.5) of this package.Take me there.

clinfun (version 1.0.14)

Clinical Trial Design and Data Analysis Functions

Description

Utilities to make your clinical collaborations easier if not fun. It contains functions for designing studies such as Simon 2-stage and group sequential designs and for data analysis such as Jonckheere-Terpstra test and estimating survival quantiles.

Copy Link

Version

Install

install.packages('clinfun')

Monthly Downloads

2,030

Version

1.0.14

License

GPL (>= 2)

Maintainer

Venkatraman E Seshan

Last Published

April 25th, 2017

Functions in clinfun (1.0.14)

fedesign

Trial Designs Based On Fisher's Exact Test
gsdesign-internal

Group Sequential Designs Internal Functions
coxphERR

Heller Explained Relative Risk
coxphQuantile

Survival time quantile as a function of covariate
calogrank

Survival curves analysis of covariance
coxphCPE

Gonen \& Heller Concordance Probability Estimate
gsdesign

Group Sequential Designs
jonckheere.test

Exact/permutation version of Jonckheere-Terpstra test
ROCanalysis

Functions to plot and compare ROC curves.
aucVardiTest

Two-Sample Tests for Growth Curves under Dependent Right Censoring
ph2single

Exact single stage Phase II design
power.ladesign

Power of k-sample rank test under Lehmann alternative
roc.perm.test

Permutation test to compare ROC curve
roc.curve

Empirical ROC curve
roc.perm.test-internal

Group Sequential Designs Internal Functions
toxbdry

Stopping rule for toxicity monitoring
pselect

Probability of selection under pick the winner rule
roc.area.test

Nonparametric area under the ROC curve
permlogrank

Permutation version of survdiff
ph2simon

Simon's 2-stage Phase II design
ktau

Kendall's tau-b estimate
oc.twostage.bdry

Two-stage boundary operating characteristics
twostage.inference

Inference following a two-stage design for binary response