Author: Alba Martinez-Ruiz <amartine@ucsc.cl> and Claudia Martinez-Araneda <cmartinez@ucsc.cl>
Depends: R (>= 2.13.1), tcltk, MASS, abind
Packaged: 2014-06-24 19:27:44 UTC; Alba Martinez

Title: Simulating Data for PLS Mode B Structural Models
Depends: R (>= 3.1.0), tcltk, MASS, abind
Description: A set of functions have been implemented to generate random data to perform Monte Carlo simulations on structural models with formative constructs and interaction and nonlinear effects (Two-Step PLS Mode B structural models). The setup of the true model considers a simple structure with three formative exogenous constructs related to one formative endogenous construct. The routines take into account the interaction and nonlinear effects of the exogenous constructs on the endogenous construct.

Title: Dynamic Estimation of Group-Level Opinion
Description: Fit dynamic group-level IRT and MRP models from individual or
aggregated item response data. This package handles common preprocessing
tasks and extends functions for inspecting results, poststratification, and
quick iteration over alternative models.
person("James", "Dunham", email = "james@jdunham.io", role = c("aut", "cre")),
person("Devin", "Caughey", email = "caughey@mit.edu", role = c("aut")),
person("Christopher", "Warshaw", email = "cwarshaw@mit.edu", role = c("aut"))
Imports: assertthat, data.table, ggplot2, lubridate, methods, R6,

Description: 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)

Suggests: knitr, reshape2, rmarkdown, testthat

Imports: assertthat, data.table, ggplot2, lubridate, methods, R6, Rcpp