Man pages for cta
Contingency Table Analysis Based on ML Fitting of MPH Models

block.fctMatrix Direct Sum
check.HLPHLP Link Status Check
check.homogZ Homogeneity Check
check.zero.order.homogZero-Order Z Homogeneity Check
ci.tableTest-Inversion CIs for Estimands in Contingency Tables
compute_cons_MLE_aseConstrained MLE and ASE
create.UOrthogonal Complement of the Column Space of a Matrix
create.Z.ZFPopulation Matrix and Sampling Constraint Matrix
cta-packagecta: Contingency Table Analysis Based on ML Fitting of MPH...
diff_Gsq_nrDifference in G-Squared Statistic Based CIs (Non-Robust)
diff_Gsq_robustDifference in G-Squared Statistic Based CIs (Robust)
diff_PD_nrDifference in Power-Divergence Statistic Based CIs...
diff_PD_robustDifference in Power-Divergence Statistic Based CIs (Robust)
diff_Xsq_nrDifference in X-Squared Statistic Based CIs (Non-Robust)
diff_Xsq_robustDifference in X-Squared Statistic Based CIs (Robust)
f.psiModel Comparison Statistics
M.fctMarginalizing Matrix Based on Strata Information
mph.fitFitting MPH and HLP Models
mph.summarySummary Statistics of the Fitted MPH Model
nested_Gsq_nrNested G-Squared Statistic Based CIs (Non-Robust)
nested_Gsq_robustNested G-Squared Statistic Based CIs (Robust)
nested_PD_nrNested Power-Divergence Statistic Based CIs (Non-Robust)
nested_PD_robustNested Power-Divergence Statistic Based CIs (Robust)
nested_Xsq_nrNested X-Squared Statistic Based CIs (Non-Robust)
nested_Xsq_robustNested X-Squared Statistic Based CIs (Robust)
num.deriv.fctNumerical Derivatives Based on Central Difference Formula
quadratic.fitQuadratic Fit
solve_quadraticSolve for Real Root(s) to the Quadratic Equation
Wald_trans.Wald_nrWald-Type CIs (Non-Robust)
Wald_trans.Wald_robustWald-Type CIs (Robust)
cta documentation built on Aug. 24, 2021, 1:06 a.m.