Package: Dire
Version: 2.1.1
Date: 2022-12-22
Title: Linear Regressions with a Latent Outcome Variable
Authors@R: c(person("Emmanuel", "Sikali", role="pdr", email = "Emmanuel.Sikali@ed.gov"),
             person("Paul", "Bailey", role=c("aut", "cre"), email="pbailey@air.org"),
             person("Eric", "Buehler", role="aut"),
             person("Sun-joo", "Lee", role="aut"),
             person("Harold", "Doran", role="aut"),
             person("Claire", "Kelley", role="ctb"))
Maintainer: Paul Bailey <pbailey@air.org>
Depends: R (>= 4.0.0)
Imports: foreach, iterators, methods, Matrix, haven, Rcpp (>= 1.0.8.3),
        MASS
Description: Fit latent variable linear models, estimating score distributions for groups of people, following Cohen and Jiang (1999) <doi:10.2307/2669917>. In this model, a latent distribution is conditional on students item response, item characteristics, and conditioning variables the user includes. This latent trait is then integrated out. This software is intended to fit the same models as the existing software 'AM' <https://am.air.org/>. As of version 2, also allows the user to draw plausible values.
License: GPL-2
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat, withr, doParallel, parallel,
        EdSurvey
URL: https://american-institutes-for-research.github.io/Dire/
BugReports: https://github.com/American-Institutes-for-Research/Dire/issues
ByteCompile: true
Note: This publication was prepared for NCES under Contract No.
        ED-IES-12-D-0002/0004 with the American Institutes for
        Research. Mention of trade names, commercial products, or
        organizations does not imply endorsement by the U.S.
        Government.
Encoding: UTF-8
RoxygenNote: 7.2.0
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2023-01-09 15:32:25 UTC; pbailey
Author: Emmanuel Sikali [pdr],
  Paul Bailey [aut, cre],
  Eric Buehler [aut],
  Sun-joo Lee [aut],
  Harold Doran [aut],
  Claire Kelley [ctb]
Repository: CRAN
Date/Publication: 2023-01-09 20:53:10 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 19:45:10 UTC; windows
Archs: i386, x64
