Title: Ordered Beta Regression Models with Brms
Description: Implements ordered beta regression models, which are for modeling continuous variables with upper and lower bounds, such as
survey sliders, dose-response relationships and indexes. For more information, see
Kubinec (2022) <doi:10.31235/osf.io/2sx6y>. The package is a front-end to the R package 'brms', which
facilitates a range of regression specifications, including hierarchical, dynamic and
Depends: R (>= 3.5), faux, dplyr, brms, tidyr, stats
Suggests: rmarkdown, knitr, ggplot2, modelsummary, marginaleffects,
Author: Robert Kubinec [aut, cre] (<https://orcid.org/0000-0001-6655-4119>)

Depends: R (>= 3.5), faux, dplyr, brms, tidyr, stats, ggplot2
Suggests: rmarkdown, knitr, modelsummary, marginaleffects, haven,

Package: ordcrm
Title: Likelihood-Based Continual Reassessment Method (CRM) Dose
Finding Designs
Version: 1.0.0
Date: 2016-11-01
Author: Emily V. Dressler, PhD
Zhengyan Huang
Maintainer: Emily V. Dressler <EmilyVDressler@gmail.com>
Description: 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.
Depends: R (>= 3.3.1), stats, graphics
Imports: rms
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-11-04 11:48:03 UTC; xanthehuang
Repository: CRAN
Date/Publication: 2016-11-04 23:54:11