cdtmbnma: Component, Dose, and Time Network Meta-Analysis with Dose-Dependent Interactions

Bayesian component model-based network meta-analysis for treatment combinations with explicit component dose-response and dose-dependent interaction surfaces. The main interface fits single-timepoint arm-level networks with continuous or binary outcomes, any number of components, additive, bilinear, or saturating pairwise interactions, study-level random effects, and prediction at unobserved dose combinations. A stage-one longitudinal interface fits a two-component exponential time-course model with a bilinear interaction on the asymptote. Estimation uses 'Stan' through 'cmdstanr' or 'rstan'. Methods are described in Welton et al. (2009) <doi:10.1093/aje/kwp014>, Mawdsley et al. (2016) <doi:10.1002/psp4.12091>, Wicha et al. (2017) <doi:10.1038/s41467-017-01929-y>, and Pedder et al. (2019) <doi:10.1002/jrsm.1351>.

Version: 0.2.1
Depends: R (≥ 4.1.0)
Imports: posterior, stats, graphics, grDevices, utils
Suggests: cmdstanr, rstan, testthat (≥ 3.0.0), knitr, rmarkdown, loo
Published: 2026-07-22
DOI: 10.32614/CRAN.package.cdtmbnma (may not be active yet)
Author: Tyler Pitre [aut, cre]
Maintainer: Tyler Pitre <pitretmed at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
SystemRequirements: A working Stan backend through cmdstanr/CmdStan or rstan.
Additional_repositories: https://stan-dev.r-universe.dev
Citation: cdtmbnma citation info
Materials: README, NEWS
CRAN checks: cdtmbnma results

Documentation:

Reference manual: cdtmbnma.html , cdtmbnma.pdf
Vignettes: Component-dose network meta-analysis with dose-dependent interactions (source, R code)

Downloads:

Package source: cdtmbnma_0.2.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): cdtmbnma_0.2.1.tgz, r-oldrel (arm64): cdtmbnma_0.2.1.tgz, r-release (x86_64): cdtmbnma_0.2.1.tgz, r-oldrel (x86_64): cdtmbnma_0.2.1.tgz

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