Provide functions for analyzing political behavior data, including
measures of political fragmentation, seat apportionment, and options for small
data visualization.
R (>= 3.2.0), ggplot2 (>= 2.1.0), stats, utils, graphics,
grDevices, methods
pander (>= 0.6.0), data.table (>= 1.9.4), grid (>= 3.0.0),
rstudioapi, htmltools, lubridate, stringr, xtable, shiny

person("Daniel", "Marcelino", email = "dmarcelino@live.com", role = c("aut", "cre"))
Provide functions for analyzing elections and political behavior
data, including measures of political fragmentation, seat apportionment, and
small data visualization graphs.
R (>= 3.2.0), stats, utils, graphics, grDevices, methods,
ggplot2 (>= 2.1.0)
Rcpp (>= 0.12.3), pander (>= 0.6.0), data.table (>= 1.9.4),
grid (>= 3.0.0), rstudioapi, htmltools, lubridate, stringr,
xtable, shiny
testthat, devtools, scales, extrafont, gtable, knitr
'Anonymize.R' 'Atkinson.R' 'Bootstrap.R' 'CI.R'
'CMDcheckVars.R' 'CalibratePlot.R' 'Clear.R' 'Condorcet.R'
'CountMissing.R' 'CrossValidation.R' 'Crosstable.R' 'DATA.R'
'DEPRECATED.R' 'Describe.R' 'Dirichlet.R' 'Dummy.R'
'Frequency.R' 'Geoms.R' 'Gini.R' 'Herfindahl.R'
'HighestAverages.R' 'Jackknife.R' 'Label.R'
'LargestRemainders.R' 'Lorenz.R' 'MOMENTS.R' 'MeanFromRange.R'
'Normalize.R' 'Operators.R' 'Outlier.R' 'Palettes.R'
'Permutate.R' 'PoliticalDiversity.R' 'Proportionality.R'
'RcppExports.R' 'Recode.R' 'Rosenbluth.R' 'RunShinyApp.R'
'ScatterPlot.R' 'SciencesPo.R' 'Stratify.R' 'TESTS.R'
'Tableplot.R' 'Ternaryplot.R' 'Themes.R' 'Transform.R'
'UTILS.R' 'Untable.R' 'Voronoi.R' 'Waffleplot.R' 'Winsorize.R'
'flag.R' 'print.SciencesPo.R' 'zTree.R' 'zzz.R'

Score Test Integrated with Empirical Bayes for Association Study
Perform association test within linear mixed model framework using score test integrated with Empirical Bayes for genome-wide association study. Firstly, score test was conducted for each marker under linear mixed model framework, taking into account the genetic relatedness and population structure. And then all the potentially associated markers were selected with a less stringent criterion. Finally, all the selected markers were placed into a multi-locus model to identify the true quantitative trait nucleotide.