Function reference • clinfun

Trial Design Functions

ph2simon() print(<ph2simon>) plot(<ph2simon>): Simon's two-stage Phase II design

ph2single(): Exact single stage Phase II design

twostage.admissible(): Admissible design options between Minimax and Optimal

twostage.inference(): Inference following a two-stage design for binary response

toxbdry() futilbdry() bdrycross.prob() print(<toxbdry>) print(<futilbdry>): Stopping rule for toxicity/futility monitoring

gsdesign.binomial() gsdesign.normal() gsdesign.survival(): Group Sequential Designs

oc.twostage.bdry(): Two-stage boundary operating characteristics

fe.ssize() CPS.ssize() fe.mdor() mdrr() fe.power() or2pcase(): Trial Designs Based On Fisher's Exact Test

power.ladesign() print(<ladesign>): Power of k-sample rank test under Lehmann alternative

pselect(): Probability of selection under pick the winner rule

Analysis Functions

ROC Curves

roc.area.test() print(<roc.area.test>): Nonparametric area under the ROC curve

roc.curve() print(<roc.curve>) plot(<roc.curve>) lines(<roc.curve>): Empirical ROC curve

roc.perm.test() print(<roc.perm.test>) plot(<roc.perm.test>): Permutation test to compare ROC curve

ROCanalysis rocanalysis: Functions to plot and compare ROC curves.

deltaAUC(): Comparing the AUC from ROC curves from nested binary regression

Survival Analysis

permlogrank(): Permutation version of survdiff

calogrank(): Survival curves analysis of covariance

coxphCPE(): Concordance Probability Estimate for Cox model

coxphQuantile(): Survival time quantile as a function of covariate

coxphERR(): Heller Explained Relative Risk

jonckheere.test(): Exact/permutation version of Jonckheere-Terpstra test

Miscellaneous

aucVardiTest(): Two-Sample Tests for Growth Curves under Dependent Right Censoring

ktau(): Kendall's tau-b estimate