Fit dynamic group-level item response theory (IRT) and multilevel
regression and poststratification (MRP) models from item response data. dgo
models latent traits at the level of demographic and geographic groups,
rather than individuals, in a Bayesian group-level IRT approach developed by
Caughey and Warshaw (2015) <doi:10.1093/pan/mpu021>. The package also
estimates subpopulations' average responses to single survey items with a
dynamic MRP model proposed by Park, Gelman, and Bafumi (2004)
<doi:10.11126/stanford/9780804753005.003.0011>.

assertthat, data.table, ggplot2, lubridate, methods, R6, Rcpp
(>= 0.12.10), survey
'RcppExports.R' 'aggregate_item_responses.r' 'assertions.r'
'class-control.r' 'class-dgo_fit.r' 'class-dgirt_fit.r'
'constants.r' 'class-dgirtin.r' 'class-dgmrp_fit.r' 'dgirt.r'
'dichotomize_item_responses.r' 'expand_rownames.r'
'methods-control.r' 'methods-dgirtfit-plot.r'
'methods-dgirtfit-poststratify.r' 'methods-dgirtfit.r'
'methods-dgirtin.r' 'name_helpers.r' 'package.R'
'rake_partial.r' 'restrict_input_data.r'
'reweight_item_responses.r' 'shape.r' 'shape_hierarchical.r'
'toy_dgirt_in.r' 'toy_dgirtfit.r' 'validate_dgirtIn.r'
'validate_input_data.r'

Provides data used by package 'dgo' in examples and vignettes.

Taylor B. Arnold, John W. Emerson, R Core Team and contributors
worldwide
This package contains a proposed revision to the
stats::ks.test() function and the associated ks.test.Rd help
page.  With one minor exception, it does not change the
existing behavior of ks.test(), and it adds features necessary
for doing one-sample tests with hypothesized discrete
distributions.  The package also contains cvm.test(), for doing
one-sample Cramer-von Mises goodness-of-fit tests.

A revision to the stats::ks.test() function and the associated
ks.test.Rd help page. With one minor exception, it does not change the
existing behavior of ks.test(), and it adds features necessary
for doing one-sample tests with hypothesized discrete
distributions. The package also contains cvm.test(), for doing
one-sample Cramer-von Mises goodness-of-fit tests.