Contingency Table Analysis Based on ML Fitting of MPH Models

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Documentation for package ‘cta’ version 1.3.0

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cta-package cta: Contingency Table Analysis Based on ML Fitting of MPH Models
block.fct Matrix Direct Sum
check.HLP HLP Link Status Check
check.homog Z Homogeneity Check
check.zero.order.homog Zero-Order Z Homogeneity Check
ci.table Test-Inversion CIs for Estimands in Contingency Tables
compute_cons_MLE_ase Constrained MLE and ASE
create.U Orthogonal Complement of the Column Space of a Matrix
create.Z.ZF Population Matrix and Sampling Constraint Matrix
diff_Gsq_nr Difference in G-Squared Statistic Based CIs (Non-Robust)
diff_Gsq_robust Difference in G-Squared Statistic Based CIs (Robust)
diff_PD_nr Difference in Power-Divergence Statistic Based CIs (Non-Robust)
diff_PD_robust Difference in Power-Divergence Statistic Based CIs (Robust)
diff_Xsq_nr Difference in X-Squared Statistic Based CIs (Non-Robust)
diff_Xsq_robust Difference in X-Squared Statistic Based CIs (Robust)
f.psi Model Comparison Statistics
M.fct Marginalizing Matrix Based on Strata Information
mph.fit Fitting MPH and HLP Models
mph.summary Summary Statistics of the Fitted MPH Model
nested_Gsq_nr Nested G-Squared Statistic Based CIs (Non-Robust)
nested_Gsq_robust Nested G-Squared Statistic Based CIs (Robust)
nested_PD_nr Nested Power-Divergence Statistic Based CIs (Non-Robust)
nested_PD_robust Nested Power-Divergence Statistic Based CIs (Robust)
nested_Xsq_nr Nested X-Squared Statistic Based CIs (Non-Robust)
nested_Xsq_robust Nested X-Squared Statistic Based CIs (Robust)
num.deriv.fct Numerical Derivatives Based on Central Difference Formula
quadratic.fit Quadratic Fit
solve_quadratic Solve for Real Root(s) to the Quadratic Equation
Wald_trans.Wald_nr Wald-Type CIs (Non-Robust)
Wald_trans.Wald_robust Wald-Type CIs (Robust)