broom, covr, crayon, dplyr (>= 1.0.0), furrr, future, stats,
testthat, tibble

Provides an extension to the 'purrr' family of mapping
functions to apply a function to each combination of elements in a
list of inputs.  Also includes functions for automatically detecting
output type in mapping functions, finding every combination of
elements of lists or rows of data frames, and applying multiple models
to multiple subsets of a dataset.
backports, broom, dplyr (>= 1.0.0), purrr, rlang, utils
covr, crayon, furrr, future, stats, testthat, tibble, withr

backports, cli, dplyr (>= 1.0.0), generics, purrr, rlang,
stats, utils
broom, covr, crayon, estimatr, furrr, future, testthat,
tibble, withr

Ruth Heller <ruheller@ie.technion.ac.il>, Dylan Small
<dsmall@wharton.upenn.edu>, Paul Rosenbaum
<rosenbap@wharton.upenn.edu>
This package performs a test for comparing two
multivariate distributions by using the distance between
observations. The input is a distance matrix and the labels of
the two groups to be compared, the output is the number of
cross-matches and a p-value.

Ruth Heller <ruheller@post.tau.ac.il>, Dylan Small
<dsmall@wharton.upenn.edu>, Paul Rosenbaum
<rosenbap@wharton.upenn.edu>
This package performs a test for comparing two
multivariate distributions by using the distance between
observations.  The input is a distance matrix and the labels of
the two groups to be compared, the output is the number of
cross-matches and a p-value.

Cross-Design & Cross-Format Network Meta-Analysis and Regression
rjags, coda, dplyr, plyr, rlang, magrittr, tidyr, ggplot2
Network meta-analysis and meta-regression (allows including up to 3 covariates) for individual participant data, aggregate data, and mixtures of both formats using the three-level hierarchical model. Each format can come from randomized controlled trials or non-randomized studies or mixtures of both. Estimates are generated in a Bayesian framework using JAGS. The implemented models are described by Hamza et al. 2022 <DOI:10.48550/arXiv.2203.06350>.
c(
person("Tasnim", "Hamza",
email = "tasnim.hamza@ispm.unibe.ch", role = "aut",
comment = c(ORCID = "0000-0002-4700-6990")),
person("Guido", "Schwarzer",
email = "sc@imbi.uni-freiburg.de", role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-6214-9087")),
person("Georgia", "Salanti",
email = "georgia.salanti@ispm.unibe.ch", role = "aut",
comment = c(ORCID = "0000-0002-3830-8508")))