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multinma  

Bayesian Network Meta-Analysis of Individual and Aggregate Data
View on CRAN: Click here


Download and install multinma package within the R console
Install from CRAN:
install.packages("multinma")

Install from Github:
library("remotes")
install_github("cran/multinma")

Install by package version:
library("remotes")
install_version("multinma", "0.8.1")



Attach the package and use:
library("multinma")
Maintained by
David M. Phillippo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-30
Latest Update: 2025-05-31
Description:
Network meta-analysis and network meta-regression models for aggregate data, individual patient data, and mixtures of both individual and aggregate data using multilevel network meta-regression as described by Phillippo et al. (2020) . Models are estimated in a Bayesian framework using 'Stan'.
How to cite:
David M. Phillippo (2020). multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data. R package version 0.8.1, https://cran.r-project.org/web/packages/multinma. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.1.3 (2020-06-30 11:20), 0.2.0 (2020-12-04 16:10), 0.2.1 (2021-01-09 14:30), 0.3.0 (2021-03-18 15:00), 0.4.0 (2022-01-18 12:42), 0.4.1 (2022-02-04 13:40), 0.4.2 (2022-03-02 15:20), 0.5.0 (2022-08-29 23:00), 0.5.1 (2023-05-24 13:20), 0.6.0 (2024-01-24 14:30), 0.6.1 (2024-03-06 02:00), 0.7.0 (2024-05-07 17:40), 0.7.1 (2024-06-11 14:20), 0.7.2 (2024-09-16 14:20), 0.8.0 (2025-03-25 23:50)
Other packages that cited multinma R package
View multinma citation profile
Other R packages that multinma depends, imports, suggests or enhances
Complete documentation for multinma
Functions, R codes and Examples using the multinma R package
Some associated functions: Bernoulli . GammaDist . aa_example_pso_mlnmr . aa_example_smk_fe . aa_example_smk_nodesplit . aa_example_smk_re . aa_example_smk_ume . adapt_delta . add_integration . as.array.stan_nma . as.stanfit . atrial_fibrillation . bcg_vaccine . blocker . combine_network . default_values . diabetes . dic . dietary_fat . distr . generalised_t . get_nodesplits . graph_conversion . hta_psoriasis . is_network_connected . log_t . logitNormal . loo . mcmc_array-class . multi . multinma-package . nma . nma_data-class . nma_dic-class . nma_nodesplit-class . nma_prior-class . nma_summary-class . nma_summary-methods . nodesplit_summary-class . nodesplit_summary-methods . pairs.stan_nma . parkinsons . plaque_psoriasis . plot.nma_data . plot.nma_dic . plot.nma_summary . plot.nodesplit_summary . plot_integration_error . plot_prior_posterior . posterior_ranks . predict.stan_nma . print.nma_data . print.nma_dic . print.nma_nodesplit_df . print.stan_nma . priors . random_effects . relative_effects . set_agd_arm . set_agd_contrast . set_ipd . smoking . stan_nma-class . statins . summary.nma_nodesplit_df . summary.nma_prior . summary.stan_nma . theme_multinma . thrombolytics . transfusion . 
Some associated R codes: adapt_delta.R . data.R . default.R . doc-examples.R . integration.R . mcmc_array-class.R . multinma-package.R . nma.R . nma_data-class.R . nma_data.R . nma_dic-class.R . nma_dic.R . nma_nodesplit-class.R . nma_prior-class.R . nma_summary-class.R . nodesplit_summary-class.R . predict.R . priors.R . ranks.R . relative_effects.R . s3_register.R . stan_nma-class.R . stanmodels.R . theme_multinma.R . zzz.R .  Full multinma package functions and examples
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