ape (>= 3.0.6), graphics, methods, mvSLOUCH, phangorn, stats,
utils, yuima

Fits by ABC, the parameters of a stochastic process modelling the phylogeny and evolution of a suite of traits following the tree. The user may define an arbitrary Markov process for the trait and phylogeny. Importantly, trait-dependent speciation models are handled and fitted to data. See K. Bartoszek, P. Lio' (2019) <10.5506/APhysPolBSupp.12.25>. The suggested geiger package can be obtained from CRAN's archive <https://cran.r-project.org/src/contrib/Archive/geiger/>, suggested to take latest version. Otherwise its required code is present in the pcmabc package. The suggested distory package can be obtained from CRAN's archive <https://cran.r-project.org/src/contrib/Archive/distory/>, suggested to take latest version. Both distory and geiger are orphaned at the moment.

Methods for patient-centered network meta-analysis
Lifeng Lin, Jing Zhang <zhan0979@umn.edu>, and Haitao Chu <chux0051@umn.edu>
Provides functions to do network meta-analysis using arm-based method, which was proposed by Zhang et al (2013); contains functions to generate summary table for the results, plot network comparisons, and plot credible interval for estimated event rate.

Provides functions to conduct network meta-analysis using arm-based method, which was proposed by Zhang et al (2013); contains functions to generate summary table for effect sizes (e.g., odds ratio, population-averaged event rate), plot network comparisons, and plot credible interval for population-averaged event rate.

Provides functions to conduct network meta-analysis using arm-based method, which was proposed by Zhang et al (2014); contains functions to generate summary table for effect sizes (e.g., odds ratio, population-averaged event rate), plot network comparisons, and plot credible interval for population-averaged event rate.

Methods for Patient-Centered Network Meta-Analysis

Provides functions to conduct network meta-analysis using arm-based methods for different data types, which include binary and continuous outcomes.