person(given = "Eduardo", family = "García-Portugués",
role = c("aut", "cre"), email = "edgarcia@est-econ.uc3m.es",
comment = c(ORCID = "0000-0002-9224-4111"))
Eduardo García-Portugués [aut, cre]
(<https://orcid.org/0000-0002-9224-4111>)

Linear Regressions with a Latent Outcome Variable
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"))
minqa, foreach, iterators, methods, Matrix, haven, Rcpp
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/>.
knitr, rmarkdown, testthat, withr, doParallel, EdSurvey
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.
Harold Doran [aut],
Paul Bailey [aut, cre],
Eric Buehler [aut],
Sun-joo Lee [aut],
Claire Kelley [ctb]

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"))
Harold Doran [aut],
Paul Bailey [aut, cre],
Eric Buehler [aut],
Sun-joo Lee [aut],
Claire Kelley [ctb],
Emmanuel Sikali [pdr]

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"))
foreach, iterators, methods, Matrix, haven, Rcpp, MASS
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.
knitr, rmarkdown, testthat, withr, doParallel, parallel,
EdSurvey
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.
Emmanuel Sikali [pdr],
Paul Bailey [aut, cre],
Eric Buehler [aut],
Sun-joo Lee [aut],
Harold Doran [aut],
Claire Kelley [ctb]