Package: COMBO 1.1.0
COMBO: Correcting Misclassified Binary Outcomes in Association Studies
Use frequentist and Bayesian methods to estimate parameters from a binary outcome misclassification model. These methods correct for the problem of "label switching" by assuming that the sum of outcome sensitivity and specificity is at least 1. A description of the analysis methods is available in Hochstedler and Wells (2023) <doi:10.48550/arXiv.2303.10215>.
Authors:
COMBO_1.1.0.tar.gz
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COMBO.pdf |COMBO.html✨
COMBO/json (API)
# Install 'COMBO' in R: |
install.packages('COMBO', repos = c('https://kimberlywebb.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kimberlywebb/combo/issues
- COMBO_EM_data - Test data for the COMBO_EM function
- LSAC_data - Example data from The Law School Admissions Council's
Last updated 2 months agofrom:841fb98d92. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 04 2024 |
R-4.5-win | OK | Sep 04 2024 |
R-4.5-linux | OK | Sep 04 2024 |
R-4.4-win | OK | Sep 04 2024 |
R-4.4-mac | OK | Sep 04 2024 |
R-4.3-win | OK | Sep 04 2024 |
R-4.3-mac | OK | Sep 04 2024 |
Exports:COMBO_dataCOMBO_data_2stageCOMBO_EMCOMBO_EM_2stageCOMBO_MCMCCOMBO_MCMC_2stagemisclassification_probmisclassification_prob2true_classification_prob
Dependencies:clicodacodetoolscpp11DBIdoParalleldplyrfansiforeachgenericsglueiteratorslatticelifecyclemagrittrMASSMatrixMatrixModelsminqamitoolsnloptrnumDerivoptimxpillarpkgconfigpracmapurrrquantregR6RcppRcppArmadillorjagsrlangSAMBASparseMstringistringrsurveysurvivaltibbletidyrtidyselectturboEMutf8vctrswithr
COMBO Notation Guide
Rendered fromCOMBO_notation_guide.Rmd
usingknitr::rmarkdown
on Sep 04 2024.Last update: 2024-07-02
Started: 2022-11-01
COMBO Notation Guide - Two-stage Misclassification Model
Rendered fromCOMBO_notation_guide_2stage.Rmd
usingknitr::rmarkdown
on Sep 04 2024.Last update: 2024-07-02
Started: 2022-12-13