{"id":15051483,"url":"https://github.com/dmphillippo/multinma","last_synced_at":"2025-04-06T04:09:20.265Z","repository":{"id":44619296,"uuid":"200245623","full_name":"dmphillippo/multinma","owner":"dmphillippo","description":"Network meta-analysis of individual and aggregate data in Stan","archived":false,"fork":false,"pushed_at":"2025-03-28T10:34:50.000Z","size":848379,"stargazers_count":35,"open_issues_count":18,"forks_count":22,"subscribers_count":4,"default_branch":"develop","last_synced_at":"2025-03-30T03:08:53.626Z","etag":null,"topics":["r","r-package","r-stats","statistics"],"latest_commit_sha":null,"homepage":"https://dmphillippo.github.io/multinma","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dmphillippo.png","metadata":{"files":{"readme":"README.Rmd","changelog":"NEWS.md","contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-08-02T14:07:58.000Z","updated_at":"2025-03-26T15:16:31.000Z","dependencies_parsed_at":"2023-01-21T10:35:37.750Z","dependency_job_id":"1e2bf08f-5297-4218-99fb-bdd261609ef3","html_url":"https://github.com/dmphillippo/multinma","commit_stats":{"total_commits":1953,"total_committers":7,"mean_commits":279.0,"dds":0.009728622631848483,"last_synced_commit":"be91d2131a00a5cf063d3baebe01769f2515fbcd"},"previous_names":[],"tags_count":18,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmphillippo%2Fmultinma","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmphillippo%2Fmultinma/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmphillippo%2Fmultinma/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dmphillippo%2Fmultinma/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dmphillippo","download_url":"https://codeload.github.com/dmphillippo/multinma/tar.gz/refs/heads/develop","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247430869,"owners_count":20937874,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["r","r-package","r-stats","statistics"],"created_at":"2024-09-24T21:35:53.454Z","updated_at":"2025-04-06T04:09:20.245Z","avatar_url":"https://github.com/dmphillippo.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"---\noutput: github_document\nbibliography: inst/REFERENCES.bib\n---\n\n\u003c!-- README.md is generated from README.Rmd. Please edit that file --\u003e\n\n```{r, include = FALSE}\nknitr::opts_chunk$set(\n  collapse = TRUE,\n  comment = \"#\u003e\",\n  fig.path = \"man/figures/README-\",\n  out.width = \"100%\"\n)\n```\n# multinma: Network Meta-Analysis of individual and aggregate data in Stan \u003cimg src='man/figures/logo.svg' style=\"float:right\" height=\"139\" /\u003e\n\n\u003c!-- badges: start --\u003e\n[![CRAN status](https://www.r-pkg.org/badges/version/multinma)](https://CRAN.R-project.org/package=multinma)\n[![R-universe](https://dmphillippo.r-universe.dev/badges/multinma)](https://dmphillippo.r-universe.dev)\n[![R-CMD-check](https://github.com/dmphillippo/multinma/workflows/R-CMD-check/badge.svg)](https://github.com/dmphillippo/multinma/actions)\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3904454.svg)](https://doi.org/10.5281/zenodo.3904454)\n\u003c!-- badges: end --\u003e\n\nThe `multinma` package implements network meta-analysis, network meta-regression, and multilevel network meta-regression models which combine evidence from a network of studies and treatments using either aggregate data or individual patient data from each study [@methods_paper;@Phillippo_thesis].\nModels are estimated in a Bayesian framework using Stan [@Carpenter2017].\n\n## Installation\n\nYou can install the released version of `multinma` from [CRAN](https://CRAN.R-project.org/package=multinma) with:\n\n``` r\ninstall.packages(\"multinma\")\n```\n\nThe development version can be installed from [R-universe](https://dmphillippo.r-universe.dev) with:\n\n```r\ninstall.packages(\"multinma\", repos = c(\"https://dmphillippo.r-universe.dev\", getOption(\"repos\")))\n```\n\nor from source on [GitHub](https://github.com/dmphillippo/multinma) with:\n\n``` r\n# install.packages(\"devtools\")\ndevtools::install_github(\"dmphillippo/multinma\")\n```\n\nInstalling from source requires that the `rstan` package is installed and configured. \nSee the installation guide [here](https://github.com/stan-dev/rstan/wiki/RStan-Getting-Started).\n\n## Getting started\nA good place to start is with the package vignettes which walk through example analyses, see `vignette(\"vignette_overview\")` for an overview.\nThe series of NICE Technical Support Documents on evidence synthesis gives a detailed introduction to network meta-analysis:\n\n\u003e Dias, S. et al. (2011). \"NICE DSU Technical Support Documents 1-7: Evidence Synthesis for Decision Making.\" _National Institute for Health and Care Excellence._ Available from https://www.sheffield.ac.uk/nice-dsu/tsds.\n\nMultilevel network meta-regression is set out in the following methods papers:\n\n\u003e Phillippo, D. M. et al. (2020). \"Multilevel Network Meta-Regression for population-adjusted treatment comparisons.\" _Journal of the Royal Statistical Society: Series A (Statistics in Society)_, 183(3):1189-1210. doi: [10.1111/rssa.12579](https://doi.org/10.1111/rssa.12579).\n\n\u003e Phillippo, D. M. et al. (2024). \"Multilevel network meta-regression for general likelihoods: synthesis of individual and aggregate data with applications to survival analysis\". _arXiv_:[2401.12640](https://arxiv.org/abs/2401.12640).\n\n## Citing multinma\nThe `multinma` package can be cited as follows:\n\n\u003e Phillippo, D. M. (`r format(Sys.Date(), \"%Y\")`). _multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data_. R package version `r getNamespaceVersion(\"multinma\")`, doi: [10.5281/zenodo.3904454](https://doi.org/10.5281/zenodo.3904454).\n\nWhen fitting ML-NMR models, please cite the methods paper:\n\n\u003e Phillippo, D. M. et al. (2020). \"Multilevel Network Meta-Regression for population-adjusted treatment comparisons.\" _Journal of the Royal Statistical Society: Series A (Statistics in Society)_, 183(3):1189-1210. doi: [10.1111/rssa.12579](https://doi.org/10.1111/rssa.12579).\n\nFor ML-NMR models with time-to-event outcomes, please cite:\n\n\u003e Phillippo, D. M. et al. (2024). \"Multilevel network meta-regression for general likelihoods: synthesis of individual and aggregate data with applications to survival analysis\". _arXiv_:[2401.12640](https://arxiv.org/abs/2401.12640).\n\n## References\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdmphillippo%2Fmultinma","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdmphillippo%2Fmultinma","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdmphillippo%2Fmultinma/lists"}