aMNLFA: Automated Fitting of Moderated Nonlinear Factor Analysis Through
the 'Mplus' Program
Automated generation, running, and interpretation of moderated
nonlinear factor analysis models for obtaining scores from observed
variables. 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.
| Version: |
0.1 |
| Depends: |
R (≥ 3.1.0) |
| Imports: |
grDevices, graphics, stats, utils, ggplot2, MplusAutomation, reshape2, gridExtra, stringr, plyr, devtools |
| Published: |
2018-04-12 |
| Author: |
Veronica Cole [aut, cre],
Nisha Gottfredson [aut],
Michael Giordano [aut],
Tim Janssen [ctb] |
| Maintainer: |
Veronica Cole <vcole at email.unc.edu> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
aMNLFA results |
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