person("Neylson", "Crepalde", email = "neylsoncrepalde@gmail.com",
role = c("aut", "cre"))
Analyze multilevel networks as described in Lazega et al (2008)
<doi:10.1016/j.socnet.2008.02.001> and in Lazega and Snijders
(2016, ISBN:978-3-319-24520-1). The package was developed essentially as an
extension to 'igraph'.
sand, statnet, mixer, data.table, testthat

sand, statnet, data.table, testthat, igraphdata

Bayesian Network Meta-Analysis of Individual and Aggregate Data
person(given = c("David", "M."),
family = "Phillippo",
role = c("aut", "cre"),
email = "david.phillippo@bristol.ac.uk",
comment = c(ORCID = "0000-0003-2672-7841"))
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) <doi:10.1111/rssa.12579>. Models are estimated in a
Bayesian framework using 'Stan'.
methods, stats, graphics, Rcpp (>= 0.12.0), rstan (>= 2.19.2),
rstantools (>= 2.0.0), Rdpack (>= 0.7), tibble, dplyr (>=
0.8.1), rlang, purrr, forcats, glue, randtoolbox, copula, tidyr
(>= 0.8.3), stringr, Matrix, igraph, ggraph, ggplot2, ggdist
(>= 2.1.1), truncdist, bayesplot
testthat (>= 2.1.0), knitr, rmarkdown, parallel, R.rsp,
rprojroot, loo (>= 2.0.0), logitnorm, crayon, tidygraph
David M. Phillippo [aut, cre] (<https://orcid.org/0000-0003-2672-7841>)

methods, stats, graphics, Rcpp (>= 0.12.0), RcppParallel (>=
5.0.1), rstan (>= 2.19.2), rstantools (>= 2.0.0), Rdpack (>=
0.7), tibble (>= 2.1.3), dplyr (>= 0.8.3), rlang, purrr,
forcats, glue, randtoolbox, copula, tidyr (>= 1.0.0), stringr,
Matrix, igraph, ggraph, ggplot2, ggdist (>= 2.1.1), truncdist,
bayesplot
testthat (>= 2.1.0), knitr, rmarkdown, parallel, R.rsp,
rprojroot, loo (>= 2.0.0), logitnorm, crayon, tidygraph,
pkgdown

testthat (>= 2.1.0), withr, knitr, rmarkdown, parallel,
R.rsp, rprojroot, loo (>= 2.0.0), logitnorm, crayon, tidygraph,
pkgdown

Robust Estimation of Overdispersed Multinomial Regression Models
Walter R. Mebane, Jr. <wrm1@cornell.edu>, Jasjeet Singh Sekhon
<jasjeet_sekhon@harvard.edu>
overdispersed multinomial regression using robust (LQD and tanh) estimation