rmarkdown, knitr, ggplot2, modelsummary, marginaleffects,
haven, stringr, Hmisc

R (>= 3.5), faux, dplyr, brms, tidyr, stats, ggplot2
rmarkdown, knitr, modelsummary, marginaleffects, haven,
stringr, Hmisc, collapse

Likelihood-Based Continual Reassessment Method (CRM) Dose
Finding Designs
Provides the setup and calculations needed
to run a likelihood-based continual reassessment method (CRM)
dose finding trial and performs simulations to assess design
performance under various scenarios. 3 dose finding designs
are included in this package: ordinal proportional odds model
(POM) CRM, ordinal continuation ratio (CR) model CRM, and the
binary 2-parameter logistic model CRM.
These functions allow customization of design characteristics
to vary sample size, cohort sizes, target dose-limiting
toxicity (DLT) rates, discrete or continuous dose levels,
combining ordinal grades 0 and 1 into one category, and
incorporate safety and/or stopping rules.
For POM and CR model designs, ordinal toxicity grades are
specified by common terminology criteria for adverse events
(CTCAE) version 4.0.
Function 'pseudodata' creates the necessary starting models
for these 3 designs, and function 'nextdose' estimates the
next dose to test in a cohort of patients for a target DLT
rate.
We also provide the function 'crmsimulations' to assess the
performance of these 3 dose finding designs under various
scenarios.

Jens J. Rogmann, University of Hamburg, Department of
Psychology, Germany
Computes ordinal alternatives to mean comparison (Cliff's
Delta)

Jens J. Rogmann, University of Hamburg, Department of Psychology, Germany
Computes ordinal alternatives to mean comparison (Cliff's Delta)

Computes ordinal alternatives to mean comparison (Cliff's
Delta, Vargha and Delaney's A, Common Language Effect Size /
Probability of Superiority, etc.)

Computes ordinal, nonparametric alternatives to mean
comparison (Cliff's delta or success rate difference (SRD),
Vargha and Delaney's A or success rate difference (SRD), the
descrete type of McGraw & Wong's Common Language Effect Size or
Grissom & Kims Probability of Superiority, and the Number
needed to treat (NNT) effect size).