Package: Dire
Version: 1.0.3
Date: 2021-03-17
Title: Linear Regressions with a Latent Outcome Variable
Authors@R: c(person("Harold", "Doran", role="aut"),
             person("Paul", "Bailey", role=c("aut", "cre"), email="pbailey@air.org"),
             person("Eric", "Buehler", role="aut"),
             person("Sun-joo", "Lee", role="aut"),
             person("Claire", "Kelley", role="ctb"),
             person("Emmanuel", "Sikali", role="pdr", email = "Emmanuel.Sikali@ed.gov"))
Maintainer: Paul Bailey <pbailey@air.org>
Depends: R (>= 3.3.0)
Imports: minqa, foreach, iterators, methods, Matrix, haven, Rcpp
Description: Fit linear models, estimating score distributions for groups of people, following Cohen and Jiang (1999) <doi:10.2307/2669917>. In this model, the response is a latent trait (such as student ability) and raw item responses are combined with item difficulties in an item response theory (IRT) framework to form a density for each unit (student). This latent trait is then integrated out. This software is intended to fit the same models as the existing software 'AM' <http://am.air.org/>.
License: GPL-2
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat, withr, doParallel, 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 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: 7.1.1
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-04-01 13:44:21 UTC; ebuehler
Author: Harold Doran [aut],
  Paul Bailey [aut, cre],
  Eric Buehler [aut],
  Sun-joo Lee [aut],
  Claire Kelley [ctb],
  Emmanuel Sikali [pdr]
Repository: CRAN
Date/Publication: 2021-04-03 17:10:02 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2021-07-19 23:26:02 UTC; windows
Archs: x64
