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_pkgdown.yml
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url: https://measr.info
home:
title: Estimate Diagnostic Classification Models with Stan
template:
package: rdcmtemplate
bootstrap: 5
opengraph:
image:
src: man/figures/card.png
alt: ""
twitter:
creator: "@wjakethompson"
site: "@atlas4learning"
card: summary_large_image
reference:
- title: Data sets
contents:
- ecpe_data
- ecpe_qmatrix
- mdm_data
- mdm_qmatrix
- title: Model estimation
- subtitle: Priors
desc: Define prior distributions for the model parameters.
contents:
- measrprior
- is_measrprior
- default_dcm_priors
- get_parameters
- subtitle: Model fitting
desc: >
Estimate the model using Markov chain Monte Carlo or Stan's optimizer.
contents:
- measr_dcm
- measrfit-class
- measrfit
- as_measrfit
- is_measrfit
- title: Model evaluation
- subtitle: Reliability
desc: >
Estimate the pattern- or attribute-level classification accuracy and
consistency.
contents:
- reliability
- cdi
- subtitle: Model fit
desc: >
Evaluate the fit of the estimated model to the observed data.
contents:
- fit_m2.measrdcm
- fit_ppmc
- subtitle: Model comparisons
desc: >
Assess the relative fit of two competing models.
contents:
- loo_compare.measrfit
- loo.measrfit
- waic.measrfit
- loglik_array
- subtitle: Add evaluations to model objects
desc: >
Add reliability, model fit, and model comparison information to an estimated
model object.
contents:
- model_evaluation
- title: Model applications
desc: View and use an estimated model.
contents:
- measr_extract
- predict.measrdcm
- title: Miscellaneous
contents:
- create_profiles
- title: internal
contents:
- measr_examples
- c.measrprior
articles:
- title: Get started
navbar: ~
contents:
- paper
- articles/model-estimation
- articles/model-evaluation
- title: Case Studies
navbar: Case Studies
contents:
- articles/ecpe
news:
releases:
- text: "Version 1.0.0"
href: https://www.wjakethompson.com/blog/measr/2024-02-measr-1.0.0/
- text: "Version 0.3.1"
href: https://www.wjakethompson.com/blog/measr/2023-06-measr-0.3.1/
- text: "Version 0.2.1"
href: https://www.wjakethompson.com/blog/measr/2023-04-measr-0.2.1/