Package: aMNLFA
Title: Automated Moderated Nonlinear Factor Analysis Using 'Mplus'
Version: 1.0.0
Authors@R: c(
  person("Veronica", "Cole", email = "colev@wfu.edu", role = c("aut","cre")),
  person("Nisha", "Gottfredson", email = "gottfredson@email.unc.edu", role = c("aut")),
  person("Michael", "Giordano", email = "mgiordano@email.unc.edu", role = c("aut")),
  person("Tim", "Janssen", email = "tim_janssen@brown.edu", role = c("ctb")))
Description: Automated generation, running, and interpretation of moderated
    nonlinear factor analysis models for obtaining scores from observed
    variables, using the method described by Gottfredson and colleagues (2019) <doi:10.1016/j.addbeh.2018.10.031>. 
    This package creates 'Mplus' input files which may be run iteratively
    to test two different types of covariate effects on items: 
    (1) latent variable impact (both mean and variance); and (2) differential 
    item functioning. After sequentially testing for all effects, it also creates a final
    model by including all significant effects after adjusting for multiple comparisons.
    Finally, the package creates a scoring model which uses the final values of parameter
    estimates to generate latent variable scores.
Depends: R (>= 3.1.0),
Imports: grDevices, graphics, stats, utils, ggplot2, MplusAutomation,
        reshape2, gridExtra, stringr, plyr, devtools, dplyr
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-06-25 01:26:52 UTC; colev
Author: Veronica Cole [aut, cre],
  Nisha Gottfredson [aut],
  Michael Giordano [aut],
  Tim Janssen [ctb]
Maintainer: Veronica Cole <colev@wfu.edu>
Repository: CRAN
Date/Publication: 2021-06-25 07:50:05 UTC
