README.md

In tmsalab/edmcore: Algorithms used across Exploratory Diagnostic Modeling

edmcore

The goal of edmcore is to house a set of functions shared by many packages within the exploratory cognitive diagnostic modeling framework.

Installation

You can install the released version of edmcore from CRAN with:

install.packages("edmcore")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("tmsalab/edmcore")

Usage

To use edmcore, load the package using:

library("edmcore")

Overview

The package contains class structure shared between different estimation units.

In particular, we have:

• EDM Classes
  • new_edm_model(), new_edm_summary(), and new_edm_default_property_list().
• Attributes
  • attribute_classes(), attribute_bijection(), attribute_inv_bijection(), attribute_gen_bijection(), and attribute_inv_gen_bijection().
• Q Matrix
  • q_matrix()/as_q_matrix(), read_q_matrix(), is_q_matrix(), is_q_strict(), and is_q_generic().
• Item Matrix
  • item_matrix()/as_item_matrix(), read_item_matrix(), and is_item_matrix().
• Metrics
  • metric_mode(), metric_bias(), metric_frobenius_norm(), metric_element_wise(), and metric_matrix_wise().
• Permutations
• Link Functions
  • link_probit(), link_probit_inv(), link_logit(), link_logit_inv(), theta_to_beta(), theta_probit_to_beta(), and theta_logit_to_beta().

Authors

James Joseph Balamuta, Steven Andrew Culpepper, and Jeffrey Douglas

Citing the edmcore package

To ensure future development of the package, please cite edmcore package if used during the analysis or simulations. Citation information for the package may be acquired by using in R:

citation("edmcore")

License

GPL (>= 2)

tmsalab/edmcore documentation built on Sept. 4, 2021, 2:46 a.m.