scales, rlang (>= 0.3.0), tidyselect, utils, stats

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
RcppParallel (>= 5.0.1), rstan (>= 2.19.3), StanHeaders (>=
Suggests: rmarkdown, knitr, testthat (>= 2.0.0), mvtnorm, vdiffr

Suggests: rmarkdown, knitr, testthat (>= 2.0.0), mvtnorm, vdiffr,

assertthat (>= 0.2.1), checkmate, Formula, bayesplot (>=
1.0.0), abind, scales, rlang (>= 0.3.0), tidyselect, utils,

Description: Contains functions to construct and evaluate directed tree
structures that model the process of occurrence of genetic

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

Packaged: Wed Mar 11 16:03:27 2009; aszabo

Title: 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"))
Description: 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>.
Imports: survival, utils, flexsurv, IPDfromKM

Title: Planing, Monitoring and Evaluating Oncological Phase 2 Studies
Description: 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().
Packaged: 2015-07-01 12:14:36 UTC; wirthsmarius