Package: Dire 3.0.0

Paul Bailey

Dire: Linear Regressions with a Latent Outcome Variable

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.

Authors:Emmanuel Sikali [pdr], Paul Bailey [aut, cre], Eric Buehler [aut], Sun-joo Lee [aut], Harold Doran [aut], Blue Webb [aut], Ali Fathi [ctb], Claire Kelley [ctb]

Dire_3.0.0.tar.gz
Dire_3.0.0.zip(r-4.7)Dire_3.0.0.zip(r-4.6)Dire_3.0.0.zip(r-4.5)
Dire_3.0.0.tgz(r-4.6-x86_64)Dire_3.0.0.tgz(r-4.6-arm64)Dire_3.0.0.tgz(r-4.5-x86_64)Dire_3.0.0.tgz(r-4.5-arm64)
Dire_3.0.0.tar.gz(r-4.7-arm64)Dire_3.0.0.tar.gz(r-4.7-x86_64)Dire_3.0.0.tar.gz(r-4.6-arm64)Dire_3.0.0.tar.gz(r-4.6-x86_64)
Dire_3.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
Dire/json (API)
NEWS

# Install 'Dire' in R:
install.packages('Dire', repos = c('https://american-institutes-for-research.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/american-institutes-for-research/dire/issues

Pkgdown/docs site:https://american-institutes-for-research.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

4.48 score 1 stars 2 packages 4 scripts 634 downloads 1 mentions 2 exports 41 dependencies

Last updated from:ed3d7ea07f. Checks:11 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING614
linux-devel-x86_64WARNING585
source / vignettesOK262
linux-release-arm64WARNING622
linux-release-x86_64WARNING572
macos-release-arm64WARNING598
macos-release-x86_64WARNING1480
macos-oldrel-arm64WARNING663
macos-oldrel-x86_64WARNING862
windows-develWARNING824
windows-releaseWARNING800
windows-oldrelWARNING775
wasm-releaseOK163

Exports:drawPVsmml

Dependencies:BHbitbit64clicliprcpp11crayondata.tabledplyrforcatsgenericsgluehavenhmslatticelbfgslifecyclemagrittrMASSMatrixmvnfastpillarpkgconfigprettyunitsprogresspurrrR6RcppRcppArmadilloreadrrlangstringistringrtibbletidyrtidyselecttzdbutf8vctrsvroomwithr

Weighted Marginal Maximum Likelihood Regression Estimation

Developed by Paul Bailey and Harold Doran\footnote{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.}

Rendered fromMML.Rmdusingknitr::rmarkdownon May 17 2026.

Last update: 2023-06-16
Started: 2021-03-19

Readme and manuals

Help Manual

Help pageTopics
Draw plausible values (PVs) from an mml fitdrawPVs drawPVs.mmlCompositeMeans drawPVs.mmlMeans drawPVs.summary.mmlCompositeMeans drawPVs.summary.mmlMeans
Marginal Maximum Likelihood Estimation of Linear Modelsmml