Author: Ruth Heller <ruheller@ie.technion.ac.il>, Dylan Small
Description: 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

Author: Ruth Heller <ruheller@post.tau.ac.il>, Dylan Small
observations.  The input is a distance matrix and the labels of

Title: Cross-Design & Cross-Format Network Meta-Analysis and Regression
Imports: rjags, coda, dplyr, plyr, rlang, magrittr, tidyr, ggplot2
Description: 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>.
email = "tasnim.hamza@ispm.unibe.ch", role = "aut",
email = "sc@imbi.uni-freiburg.de", role = c("aut", "cre"),
email = "georgia.salanti@ispm.unibe.ch", role = "aut",
Author: Tasnim Hamza [aut] (<https://orcid.org/0000-0002-4700-6990>),
Guido Schwarzer [aut, cre] (<https://orcid.org/0000-0001-6214-9087>),

Title: Joint Distribution of Number of Crossings and Longest Run
Description: Joint distribution of number of crossings and the
longest run in a series of independent Bernoulli trials. The
computations uses an iterative procedure where computations
are based on results from shorter series. The procedure
conditions on the start value and partitions by further
conditioning on the position of the first crossing (or none).
Packaged: 2018-10-01 09:50:57 UTC; Tore Admin

Title: Crosstables for Descriptive Analyses
Description: Create descriptive tables for continuous and categorical variables.
Apply summary statistics and counting function, with or without a grouping variable, and create beautiful reports using 'rmarkdown' or 'officer'.
You can also compute statistical tests and effect sizes if needed.
Imports: checkmate, dplyr (>= 1.0.0), ellipsis, flextable (>= 0.5.8),
forcats, glue, lifecycle, nortest, officer, purrr, rlang (>=
0.4.7), stats, stringr, survival, tibble, tidyr, tidyselect
Suggests: covr, crayon, xml2, DescTools, digest, gt, expss, ggplot2,
gmodels, Hmisc, jsonlite, knitr, openxlsx, rmarkdown, sloop,
stringi, systemfonts, testthat, withr, waldo,
Author: Dan Chaltiel [aut, cre] (<https://orcid.org/0000-0003-3488-779X>),