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Contingency table analysis is performed based on maximum likelihood (ML) fitting of multinomial-Poisson homogeneous (MPH) and homogeneous linear predictor (HLP) models. See Lang (2004) <doi:10.1214/aos/1079120140> and Lang (2005) <doi:10.1198/016214504000001042> for MPH and HLP models. Objects computed include model goodness-of-fit statistics; likelihood- based (cell- and link-specific) residuals; and cell probability and expected count estimates along with standard errors. This package can also compute test-inversion–e.g. Wald, profile likelihood, score, power-divergence–confidence intervals for contingency table estimands, when table probabilities are potentially subject to equality constraints. For test-inversion intervals, see Lang (2008) <doi:10.1002/sim.3391> and Zhu (2020) <doi:10.17077/etd.005331>.
Version: | 1.3.0 |
Imports: | intervals, numDeriv, limSolve, methods |
Suggests: | vcd, MASS |
Published: | 2021-08-23 |
DOI: | 10.32614/CRAN.package.cta |
Author: | Joseph B. Lang [aut], Qiansheng Zhu [aut, cre] |
Maintainer: | Qiansheng Zhu <qiansheng-zhu at uiowa.edu> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
CRAN checks: | cta results |
Reference manual: | cta.pdf |
Package source: | cta_1.3.0.tar.gz |
Windows binaries: | r-devel: cta_1.3.0.zip, r-release: cta_1.3.0.zip, r-oldrel: cta_1.3.0.zip |
macOS binaries: | r-release (arm64): cta_1.3.0.tgz, r-oldrel (arm64): cta_1.3.0.tgz, r-release (x86_64): cta_1.3.0.tgz, r-oldrel (x86_64): cta_1.3.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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