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dcm2  

Calculating the M2 Model Fit Statistic for Diagnostic Classification Models
View on CRAN: Click here


Download and install dcm2 package within the R console
Install from CRAN:
install.packages("dcm2")

Install from Github:
library("remotes")
install_github("cran/dcm2")

Install by package version:
library("remotes")
install_version("dcm2", "1.0.2")



Attach the package and use:
library("dcm2")
Maintained by
Jeffrey Hoover
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-21
Latest Update: 2023-03-21
Description:
A collection of functions for calculating the M2 model fit statistic for diagnostic classification models as described by Liu et al. (2016) . 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.
How to cite:
Jeffrey Hoover (2023). dcm2: Calculating the M2 Model Fit Statistic for Diagnostic Classification Models. R package version 1.0.2, https://cran.r-project.org/web/packages/dcm2. Accessed 21 Nov. 2024.
Previous versions and publish date:
No previous versions
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View dcm2 citation profile
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Complete documentation for dcm2
Functions, R codes and Examples using the dcm2 R package
Some associated functions: as_binary . calc_m2 . data_att1 . dcm2-package . fit_m2 . log_odds . pipe . sample_data . tidyeval . 
Some associated R codes: RcppExports.R . data-att1.R . data-checks.R . dcm2-package.R . logit-transformations.R . m2-methods.R . m2.R . sample-data.R . use-tidy-eval.R . utils-m2.R . utils-pipe.R .  Full dcm2 package functions and examples
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