CRAN/E | oncomsm

oncomsm

Bayesian Multi-State Models for Early Oncology

Installation

About

Implements methods to fit a parametric Bayesian multi-state model to tumor response data. The model can be used to sample from the predictive distribution to impute missing data and calculate probability of success for custom decision criteria in early clinical trials during an ongoing trial. The inference is implemented using 'stan'.

boehringer-ingelheim.github.io/oncomsm/
github.com/Boehringer-Ingelheim/oncomsm
System requirements GNU make
Bug report File report

Key Metrics

Version 0.1.4
R ≥ 3.6
Published 2023-04-17 375 days ago
Needs compilation? yes
License Apache License 2.0
CRAN checks oncomsm results
Language en-US

Downloads

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Last 7 days 59 +9%
Last 30 days 235 +3%
Last 90 days 675 -21%
Last 365 days 2.941 +190%

Maintainer

Maintainer

Kevin Kunzmann

kevin.kunzmann@boehringer-ingelheim.com

Authors

Kevin Kunzmann

aut / cre

Karthik Ananthakrishnan

ctb

Boehringer Ingelheim Ltd.

cph / fnd

Material

NEWS
Reference manual
Package source

Vignettes

avoiding-bias
oncomsm
prior-choice

macOS

r-devel

arm64

r-release

arm64

r-oldrel

arm64

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

oncomsm archive

Depends

R ≥ 3.6

Imports

methods
Rcpp
RcppNumerical ≥ 0.4
rstan ≥ 2.18
rlang ≥ 0.4
magrittr
tibble
dplyr
tidyr
purrr
furrr
stringr
ggplot2
checkmate
rstantools

Suggests

rmarkdown
knitr
testthat ≥ 3.0.0
patchwork
bhmbasket
vdiffr
DiagrammeR
future
doFuture
doRNG
rjags

LinkingTo

BH ≥ 1.66.0
Rcpp
RcppEigen ≥ 0.3
RcppNumerical ≥0.4
rstan ≥ 2.18
StanHeaders ≥ 2.18
RcppParallel