Provides methods for examining posterior MCMC samples
from a single chain using trace plots and density plots, and from
multiple chains by comparing posterior medians and credible intervals
from each chain.  These plotting functions have a variety of options,
such as figure sizes, legends, parameters to plot, and saving plots to file.
Functions interface with the NIMBLE software package, see
de Valpine, Turek, Paciorek, Anderson-Bergman, Temple Lang and Bodik (2017)
<doi:10.1080/10618600.2016.1172487>.

Add Trendline of Basic Regression Models to Plot
Weiping Mei, Guangchuang Yu, Jiangshan Lai, Qiang Rao and Yu Umezawa
Add trendline of basic linear or nonlinear regression models and show equation to plot as simple as possible.

c(
person("Weiping", "Mei",     email = "meiweipingg@163.com", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0001-6400-9862")),
person("Guangchuang", "Yu",     email = "guangchuangyu@gmail.com", role = c("aut"), comment = c(ORCID = "0000-0002-6485-8781")),
person("Jiangshan", "Lai", role = c("ctb")),
person("Qiang", "Rao",   role = "ctb"),
person("Yu", "Umezawa",  role = "ctb")
)
Plot, draw regression line and confidence interval, and show regression equation, R-square and P-value,  as simple as possible, by using different models ("line2P", "line3P", "log2P", "exp2P", "exp3P", "power2P", "power3P") built in the 'trendline()' function.
Weiping Mei [aut, cre, cph] (<https://orcid.org/0000-0001-6400-9862>),
Guangchuang Yu [aut] (<https://orcid.org/0000-0002-6485-8781>),
Jiangshan Lai [ctb],
Qiang Rao [ctb],
Yu Umezawa [ctb]

Add Trendline and Confidence Interval of Basic Regression Models
to Plot

A Package to Recover a Basic Space from Issue Scales
Keith Poole <ktpoole@uga.edu>, Howard Rosenthal
<rosentha@princeton.edu>, Jeffrey Lewis <jblewis@ucla.edu>,
James Lo <lo@uni-mannheim.de> and Royce Carroll
<rcarroll@rice.edu>
Conducts Aldrich-McKelvey and Blackbox Scaling (SVD
generalization with missing values)

Conducts Aldrich-McKelvey and Blackbox Scaling to Recover
Latent Dimensions of Judgment