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cta
View on CRAN: Click
here
Download and install cta package within the R console
Install from CRAN:
install.packages("cta")
Install from Github:
library("remotes")
install_github("cran/cta") Install by package version:
library("remotes")
install_version("cta", "1.3.0") Attach the package and use:
library("cta")
Maintained by
Qiansheng Zhu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-08-23
Latest Update:
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) and Lang (2005)
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) and Zhu (2020) .
How to cite:
Qiansheng Zhu (2021). cta: Contingency Table Analysis Based on ML Fitting of MPH Models. R package version 1.3.0, https://cran.r-project.org/web/packages/cta. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.3.0 (2021-08-23 20:20)
Other packages that cited cta R package
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Other R packages that cta depends,
imports, suggests or enhances
Complete documentation for cta
Functions, R codes and Examples using
the cta R package
Some associated functions: M.fct . Wald_trans.Wald_nr . Wald_trans.Wald_robust . block.fct . check.HLP . check.homog . check.zero.order.homog . ci.table . compute_cons_MLE_ase . create.U . create.Z.ZF . cta-package . diff_Gsq_nr . diff_Gsq_robust . diff_PD_nr . diff_PD_robust . diff_Xsq_nr . diff_Xsq_robust . f.psi . mph.fit . mph.summary . nested_Gsq_nr . nested_Gsq_robust . nested_PD_nr . nested_PD_robust . nested_Xsq_nr . nested_Xsq_robust . num.deriv.fct . quadratic.fit . solve_quadratic .
Some associated R codes: M.fct.R . Wald_trans.Wald_nr.R . Wald_trans.Wald_robust.R . block.fct.R . check.HLP.R . check.homog.R . check.zero.order.homog.R . ci.table.R . compute_cons_MLE_ase.R . create.U.R . create.Z.ZF.R . diff_Gsq_nr.R . diff_Gsq_robust.R . diff_PD_nr.R . diff_PD_robust.R . diff_Xsq_nr.R . diff_Xsq_robust.R . f.psi.R . mph.fit.R . mph.summary.R . nested_Gsq_nr.R . nested_Gsq_robust.R . nested_PD_nr.R . nested_PD_robust.R . nested_Xsq_nr.R . nested_Xsq_robust.R . num.deriv.fct.R . quadratic.fit.R . solve_quadratic.R . Full cta package functions and examples
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