rmarkdown, knitr, testthat (>= 2.0.0), mvtnorm, vdiffr,
cmdstanr (>= 0.4.0)

methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>=
2.19.3), rstantools (>= 2.1.1), posterior (>= 1.3.0),
assertthat (>= 0.2.1), checkmate, Formula, bayesplot (>=
1.4.0), ggplot2 (>= 2.2.1), dplyr (>= 0.8.0), tibble, tidyr (>=
1.0.0), abind, scales, rlang (>= 0.3.0), tidyselect, utils,
stats, matrixStats

Contains functions to construct and evaluate directed tree
structures that model the process of occurrence of genetic
alterations during carcinogenesis.

Contains functions to construct and evaluate directed tree structures that
model the process of occurrence of genetic alterations during carcinogenesis.

Optimal One-Arm Two-Stage Phase II Design with Survival Endpoint
c(person("Xiaomeng", "Yuan",  email="xiaomeng.yuan@stjude.org", role = c("aut", "cre")),
person("Haitao", "Pan",  email="haitao.pan@stjude.org", role = c("aut")),
person("Jianrong", "Wu",  email="jiwu@salud.unm.edu", role = c("aut"))
)
The proposed two-stage design can be used for single-arm phase II trial designs with
time-to-event endpoints, which is desirable for clinical trials on immunotherapies
among cancer patients. There're two advantages of the proposed approach: 1) It provides
flexible choices of four underlying survival distributions and 2) the power of the design
is more accurately calculated using exact variance in one-sample log-rank test. The package
can be used for 1) planning the sample size; 2) conducting the interim and final analyses for
the Go/No-go decisions. More details about the design method can be found in the paper:
Wu, J, Chen L, Wei J, Weiss H, Chauhan A. (2020). <doi:10.1002/pst.1983>.
Xiaomeng Yuan [aut, cre],
Haitao Pan [aut],
Jianrong Wu [aut]

Planing, Monitoring and Evaluating Oncological Phase 2 Studies
Purpose of this package is it to plan, monitor and evaluate oncological phase II studies. In general this kind of studies are single-arm trials with planned interim analysis and binary endpoint. To meet the resulting requirements, the package provides functions to calculate and evaluate 'Simon's two-stage designs' and 'so-called' 'subset designs'. If you are unfamiliar with this package a good starting point is to take a closer look at the functions getSolutions() and getSolutionsSub1().