Function reference
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ph2simon()
print(<ph2simon>)
plot(<ph2simon>)
- Simon's two-stage Phase II design
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ph2single()
- Exact single stage Phase II design
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twostage.admissible()
- Admissible design options between Minimax and Optimal
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twostage.inference()
- Inference following a two-stage design for binary response
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toxbdry()
futilbdry()
bdrycross.prob()
print(<toxbdry>)
print(<futilbdry>)
- Stopping rule for toxicity/futility monitoring
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gsdesign.binomial()
gsdesign.normal()
gsdesign.survival()
- Group Sequential Designs
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oc.twostage.bdry()
- Two-stage boundary operating characteristics
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fe.ssize()
CPS.ssize()
fe.mdor()
mdrr()
fe.power()
or2pcase()
- Trial Designs Based On Fisher's Exact Test
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power.ladesign()
print(<ladesign>)
- Power of k-sample rank test under Lehmann alternative
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pselect()
- Probability of selection under pick the winner rule
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roc.area.test()
print(<roc.area.test>)
- Nonparametric area under the ROC curve
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roc.curve()
print(<roc.curve>)
plot(<roc.curve>)
lines(<roc.curve>)
- Empirical ROC curve
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roc.perm.test()
print(<roc.perm.test>)
plot(<roc.perm.test>)
- Permutation test to compare ROC curve
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ROCanalysis
rocanalysis
- Functions to plot and compare ROC curves.
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deltaAUC()
- Comparing the AUC from ROC curves from nested binary regression
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permlogrank()
- Permutation version of survdiff
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calogrank()
- Survival curves analysis of covariance
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coxphCPE()
- Concordance Probability Estimate for Cox model
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coxphQuantile()
- Survival time quantile as a function of covariate
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coxphERR()
- Heller Explained Relative Risk
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jonckheere.test()
- Exact/permutation version of Jonckheere-Terpstra test
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aucVardiTest()
- Two-Sample Tests for Growth Curves under Dependent Right Censoring
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ktau()
- Kendall's tau-b estimate