person("Chris", "Terry", email = "christerry3@btinternet.com", role = c("aut", "cre"))
Generates interactive bipartite graphs using the D3 library.
Designed for use with the 'bipartite' analysis package.
Sources open source 'vis-js' library (<http://visjs.org/>).
Adapted from examples at <https://bl.ocks.org/NPashaP> (released under GPL-3).

Generates interactive bipartite graphs using the D3 library.
Designed for use with the 'bipartite' analysis package.
Sources open source 'viz-js' library
Adapted from examples at <https://bl.ocks.org/NPashaP> (released under GPL-3).

Bayesian Individual Patient Data Meta-Analysis using 'JAGS'
rjags (>= 4-6), coda (>= 0.13), mvtnorm, dplyr
dclone, R2WinBUGS, mice, micemd, miceadds, mitools, knitr,
rmarkdown
c(
person("Michael", "Seo", email = "swj8874@gmail.com", role = c("aut", "cre")))
We use a Bayesian approach to run individual patient data meta-analysis using 'JAGS'. The methods incorporate shrinkage methods and calculate patient-specific treatment effects as described in Seo et al. (2021) <DOI:10.1002/sim.8859>. This package also includes user-friendly functions that impute missing data in an individual patient data using mice-related packages.

We use a Bayesian approach to run individual patient data meta-analysis and network meta-analysis using 'JAGS'. The methods incorporate shrinkage methods and calculate patient-specific treatment effects as described in Seo et al. (2021) <DOI:10.1002/sim.8859>. This package also includes user-friendly functions that impute missing data in an individual patient data using mice-related packages.

Ana Belen Nieto Librero<ananieto@usal.es>, Purificacion Galindo Villardon<pgalindo@usal.es>
Ana Belen Nieto Librero <ananieto@usal.es>
A GUI with which the user can construct and interact with Bootstrap methods on Classical Biplots

Bootstrap on Classical Biplots and Clustering Disjoint Biplot
A GUI with which the user can construct and interact with Bootstrap methods on Classical Biplots and with Clustering and/or Disjoint Biplot.
rgl, tkrplot, tcltk, tcltk2, shapes, cluster, dendroextras,
MASS