Component, Dose, and Time Network Meta-Analysis with Dose-Dependent Interactions R package cdtmbnma version 0.2.1 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>. Software Depends: R (>= 4.1.0) Imports: posterior, stats, graphics, grDevices, utils Suggests: cmdstanr, rstan, testthat (>= 3.0.0), knitr, rmarkdown, loo Tyler Pitre <pitretmed@gmail.com> Comprehensive R Archive Network (CRAN) Tyler Pitre [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=cdtmbnma/LICENSE) 2026-07-22 application/tgz https://CRAN.R-project.org/package=cdtmbnma doi:10.32614/CRAN.package.cdtmbnma