cdtmbnma
0.2.1Component, Dose, and Time Network Meta-Analysis with Dose-Dependent Interactions
Overview
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.
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1 release. R releases are shown for context.
- 0.2.1Latest2026-07-22 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-22
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
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