Package: cta
Title: Contingency Table Analysis Based on ML Fitting of MPH Models
Version: 1.3.0
Date: 2021-8-21
Authors@R: c(person("Joseph B.", "Lang", role = "aut",
                    email = "joseph-lang@uiowa.edu"),
             person("Qiansheng", "Zhu", role = c("aut", "cre"),
                    email = "qiansheng-zhu@uiowa.edu"))
Author: Joseph B. Lang [aut],
  Qiansheng Zhu [aut, cre]
Maintainer: Qiansheng Zhu <qiansheng-zhu@uiowa.edu>
Imports: intervals, numDeriv, limSolve, methods
Suggests: vcd, MASS
Description: 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>.
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: no
Packaged: 2021-08-22 01:16:52 UTC; QianshengZhu
Date/Publication: 2021-08-23 18:20:10 UTC
Built: R 4.1.0; ; 2021-08-24 12:03:21 UTC; unix
