dcm2: Calculating the M2 Model Fit Statistic for Diagnostic Classification Models

A collection of functions for calculating the M2 model fit statistic for diagnostic classification models as described by Liu et al. (2016) <doi:10.3102/1076998615621293>. These functions provide multiple sources of information for model fit according to the M2 statistic, including the M2 statistic, the *p* value for that M2 statistic, and the Root Mean Square Error of Approximation based on the M2 statistic.

Version: 1.0.2
Depends: R (≥ 3.6)
Imports: dplyr (≥ 0.8.4), glue (≥ 1.4.2), magrittr (≥ 1.5), methods (≥ 4.1.0), modelr (≥ 0.1.8), purrr (≥ 0.3.3), Rcpp, rlang (≥ 0.4.11), stringr (≥ 1.4.0), tibble (≥ 2.1.3), tidyr (≥ 1.1.4)
LinkingTo: Rcpp, RcppArmadillo (≥ 0.9.800.1.0)
Suggests: covr, GDINA, roxygen2, spelling, testthat (≥ 2.1.0)
Published: 2023-03-21
Author: Jeffrey Hoover ORCID iD [aut, cre, cph], W. Jake Thompson ORCID iD [aut], Wenchao Ma [ctb] (Author of Mord.cpp)
Maintainer: Jeffrey Hoover <jeffrey.c.hoover at gmail.com>
BugReports: https://github.com/atlas-aai/dcm2/issues
License: GPL-3
URL: https://github.com/atlas-aai/dcm2
NeedsCompilation: yes
Language: en-US
Materials: README
CRAN checks: dcm2 results

Documentation:

Reference manual: dcm2.pdf

Downloads:

Package source: dcm2_1.0.2.tar.gz
Windows binaries: r-devel: dcm2_1.0.2.zip, r-release: dcm2_1.0.2.zip, r-oldrel: dcm2_1.0.2.zip
macOS binaries: r-release (arm64): dcm2_1.0.2.tgz, r-oldrel (arm64): dcm2_1.0.2.tgz, r-release (x86_64): dcm2_1.0.2.tgz

Reverse dependencies:

Reverse imports: measr

Linking:

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