Package index • contingencytables

All functions
`Adjusted_inv_sinh_CI_OR_2x2()`	The adjusted inverse hyperbolic sine confidence interval for the odds ratio
`Adjusted_inv_sinh_CI_ratio_2x2()`	The adjusted inverse hyperbolic sine confidence interval for the ratio of probabilities
`Adjusted_log_CI_2x2()`	The adjusted log confidence interval for the ratio of probabilities
`AgrestiCaffo_CI_2x2()`	The Agresti-Caffo confidence interval for the difference between probabilities
`AgrestiCoull_CI_1x2()`	The Agresti-Coull confidence interval for the binomial probability
`Arcsine_CI_1x2()`	Arcsine confidence interval
`BaptistaPike_exact_conditional_CI_2x2()`	The Baptista-Pike exact conditional confidence interval for the odds ratio
`BaptistaPike_midP_CI_2x2()`	The Baptista-Pike mid-P confidence interval for the odds ratio
`Bhapkar_test_paired_cxc()`	The Bhapkar test for marginal homogeneity
`Blaker_exact_CI_1x2()`	The Blaker exact confidence interval
`Blaker_exact_test_1x2()`	The Blaker exact test
`Blaker_midP_CI_1x2()`	The Blaker mid-P confidence interval for the binomial probability
`Blaker_midP_test_1x2()`	The Blaker mid-P test
`BonettPrice_hybrid_Wilson_score_CI_CC_paired_2x2()`	The Bonett-Price hybrid Wilson score confidence interval for the ratio of paired probabilities
`BonettPrice_hybrid_Wilson_score_CI_paired_2x2()`	The Bonett-Price hybrid Wilson score confidence interval for the ratio of paired probabilities
`Bonferroni_type_CIs_paired_cxc()`	Bonferroni-type confidence intervals for differences of marginal probabilities
`Bonferroni_type_CIs_rxc()`	The Bonferroni-type simultaneous confidence intervals for the differences pi_1\|i - pi_1\|j
`Brant_test_2xc()`	The Brant test for the proportional odds assumption
`BreslowDay_homogeneity_test_stratified_2x2()`	The Breslow-Day test of homogeneity of odds ratios over strata
`Chacko_test_1xc()`	The Chacko test for order-restriction
`ClopperPearson_exact_CI_1x2()`	The Clopper-Pearson exact confidence interval
`ClopperPearson_exact_CI_1x2_beta_version()`	The Clopper-Pearson exact confidence interval for the binomial probability (beta version)
`ClopperPearson_midP_CI_1x2()`	The Clopper-Pearson mid-P confidence interval
`CochranArmitage_CI_rx2()`	The Cochran-Armitage confidence interval for trend in the linear model
`CochranArmitage_MH_tests_rx2()`	The Cochran-Armitage, modified Cochran-Armitage, and Mantel-Haenszel tests for trend
`CochranArmitage_exact_cond_midP_tests_rx2()`	The Cochran-Armitage exact conditional and mid-P tests
`CochranMantelHaenszel_test_stratified_2x2()`	The Cochran-Mantel-Haenszel test of a common odds ratio
`Cochran_Q_test_stratified_2x2()`	The Cochran Q test of homogeneity of effects over strata
`Cornfield_exact_conditional_CI_2x2()`	The Cornfield exact conditional confidence interval for the odds ratio
`Cornfield_midP_CI_2x2()`	The Cornfield mid-P confidence interval for the odds ratio
`Cumulative_models_for_2xc()`	Cumulative logit and probit models
`Cumulative_models_for_rxc()`	Cumulative logit and probit models
`Exact_binomial_test_1x2()`	The exact binomial test for the binomial probability (pi)
`Exact_cond_midP_linear_rank_tests_2xc()`	Exact conditional and mid-P linear rank tests
`Exact_cond_midP_tests_rxc()`	Exact conditional and mid-P tests for the rxc table
`Exact_cond_midP_unspecific_ordering_rx2()`	The exact conditional and mid-P tests for unspecific ordering
`Exact_multinomial_test_1xc()`	The exact multinomial test for multinomial probabilities
`Exact_unconditional_test_2x2()`	Exact unconditional test for association in 2x2 tables
`FisherFreemanHalton_asymptotic_test_rxc()`	The Fisher-Freeman-Halton asymptotic test for unordered rxc tables
`Fisher_exact_test_2x2()`	The Fisher exact test for association in 2x2 tables
`Fisher_midP_test_2x2()`	The Fisher mid-P test for association in 2x2 tables
`FleissEveritt_test_paired_cxc()`	The Fleiss-Everitt version of the Stuart test for marginal homogeneity
`FleissLevinPaik_test_paired_cxc()`	The Fleiss-Levin-Paik test for three-level ordinal outcomes
`Gart_adjusted_logit_CI_2x2()`	The Gart adjusted logit confidence interval for the odds ratio
`Gold_Wald_CIs_1xc()`	The Gold Wald simultaneous intervals for the multinomial probabilities
`Goodman_Wald_CIs_1xc()`	The Goodman Wald simultaneous intervals for the multinomial probabilities
`Goodman_Wald_CIs_for_diffs_1xc()`	The Goodman Wald simultaneous intervals for the differences between the
`Goodman_Wilson_score_CIs_1xc()`	The Goodman Wilson score simultaneous intervals for the multinomial probabilities
`Independence_smoothed_logit_CI_2x2()`	The Independence-smoothed logit confidence interval for the odds ratio
`Inv_sinh_CI_OR_2x2()`	The inverse hyperbolic sine confidence interval for the odds ratio
`Inv_sinh_CI_ratio_2x2()`	The inverse hyperbolic sine confidence interval for the ratio of probabilities
`InverseVariance_estimate_stratified_2x2()`	The inverse variance estimate of the overall effect across strata
`Jeffreys_CI_1x2()`	Jeffreys confidence interval for the binomial probability
`JonckheereTerpstra_test_rxc()`	The Jonckheere-Terpstra test for association
`Katz_log_CI_2x2()`	The Katz log confidence interval for the ratio of probabilities
`Kendalls_tau_b_rxc()`	Kendall's tau-b with confidence interval based on the Fieller standard deviation
`Kendalls_tau_b_rxc_bca()`	Kendall's tau-b with the bias-corrected and accelerated boostrap confidence interval
`Koopman_asymptotic_score_CI_2x2()`	The Koopman asymptotic score confidence interval for the ratio of probabilities
`KruskalWallis_asymptotic_test_rxc()`	The Kruskal-Wallis asymptotic test for singly ordered rxc tables
`LR_CI_1x2()`	The likelihood ratio confidence interval for the binomial probability
`LR_test_1x2()`	The likelihood ratio test for the binomial probability (pi)
`LR_test_1xc()`	The likelihood ratio test for multinomial probabilities
`LR_test_2x2()`	The likelihood ratio test for association in 2x2 tables
`ML_estimates()`	Calculate ML estimates
`ML_estimates_and_CIs_stratified_2x2()`	Maximum likelihood estimates with CIs of the grouping and strata effects
`MOVER_R_Wilson_CI_OR_2x2()`	The MOVER-R Wilson confidence interval for the odds ratio
`MOVER_R_Wilson_CI_ratio_2x2()`	The MOVER-R Wilson confidence interval for the ratio of probabilities
`MOVER_Wilson_score_CI_paired_2x2()`	The MOVER Wilson score confidence interval for the ratio of paired probabilities
`MantelHaenszel_estimate_stratified_2x2()`	The Mantel-Haenszel estimate of the overall effect across strata
`MantelHaenszel_test_2xc()`	The Mantel-Haenszel test of association with column scores
`McNemarBowker_test_paired_cxc()`	The McNemar-Bowker test for marginal symmetry
`McNemar_asymptotic_test_CC_paired_2x2()`	The McNemar asymptotic test with continuity correction
`McNemar_asymptotic_test_paired_2x2()`	The McNemar asymptotic test
`McNemar_exact_cond_test_paired_2x2()`	The McNemar exact conditional test
`McNemar_exact_unconditional_test_paired_2x2()`	The McNemar exact unconditional test
`McNemar_midP_test_paired_2x2()`	The McNemar mid-P test
`Mee_asymptotic_score_CI_2x2()`	The Mee asymptotic score confidence interval for the difference between probabilities
`MidP_binomial_test_1x2()`	The mid-P binomial test for the binomial probability (pi)
`MidP_multinomial_test_1xc()`	The mid-P multinomial test for multinomial probabilities
`MiettinenNurminen_asymptotic_score_CI_OR_2x2()`	The Miettinen-Nurminen asymptotic score CI for the odds ratio
`MiettinenNurminen_asymptotic_score_CI_difference_2x2()`	The Miettinen-Nurminen asymptotic score confidence interval for the
`MiettinenNurminen_asymptotic_score_CI_ratio_2x2()`	The Miettinen-Nurminen asymptotic score confidence interval for the ratio of probabilities
`Newcombe_hybrid_score_CI_2x2()`	The Newcombe hybrid score confidence interval for the difference between probabilities
`Newcombe_square_and_add_CI_paired_2x2()`	The Newcombe square-and-add confidence interval for the difference
`Pearson_LR_homogeneity_test_stratified_2x2()`	The Pearson chi-squared and likelihood ratio tests for homogeneity over strata
`Pearson_LR_test_common_effect_stratified_2x2()`	The Pearson chi-squared and likelihood ratio tests of a common difference
`Pearson_LR_tests_cum_OR_2xc()`	The Pearson chi-squared and likelihood ratio tests for cumulative ORs in 2xc tables
`Pearson_LR_tests_rxc()`	The Pearson chi-squared and likelihood ratio tests for association in rxc tables
`Pearson_LR_tests_unspecific_ordering_rx2()`	The Pearson chi-squared and likelihood ratio tests for unspecific ordering in rx2 tables
`Pearson_chi_squared_test_1xc()`	The Pearson chi-squared test for multinomial probabilities
`Pearson_chi_squared_test_2x2()`	The Pearson chi-squared test for association in 2x2 tables
`Pearson_chi_squared_test_CC_2x2()`	The Pearson chi-squared test for association in 2x2 tables
`Pearson_correlation_coefficient_rxc()`	The Pearson correlation coefficient
`Pearson_correlation_coefficient_rxc_bca()`	The Pearson correlation coefficient with the bias-corrected and accelerated
`Pearson_residuals_rxc()`	The Pearson residuals and the standardized Pearson residuals
`Peto_OR_estimate_stratified_2x2()`	The Peto estimate of the common odds ratio across strata
`Peto_homogeneity_test_stratified_2x2()`	The Peto test for homogeneity of odds ratios over strata
`PriceBonett_approximate_Bayes_CI_2x2()`	The Price-Bonett approximate Bayes confidence interval for the ratio of probabilities
`QuesenberryHurst_Wilson_score_CIs_1xc()`	The Quesenberry-Hurst Wilson score simultaneous intervals for the multinomial probabilities
`RBG_test_and_CI_stratified_2x2()`	The RBG test and CI for a common odds ratio
`Scheffe_type_CIs_paired_cxc()`	Scheffe-type confidence intervals for differences of marginal probabilities
`Scheffe_type_CIs_rxc()`	The Scheffe-type simultaneous confidence intervals for the differences pi_1\|i - pi_1\|j
`Score_test_1x2()`	The score test for the binomial probability (pi)
`Score_test_CC_1x2()`	The score test with continuity correction for the
`Score_test_and_CI_marginal_mean_scores_paired_cxc()`	Score test and CI marginal mean scores paired CxC
`Score_test_for_effect_in_the_probit_model_2xc()`	Score test for effect in the cumulative probit model
`Spearman_correlation_coefficient_rxc()`	The Spearman correlation coefficient
`Spearman_correlation_coefficient_rxc_bca()`	The Spearman correlation coefficient with the bias-corrected and accelerated
`Stuart_test_paired_cxc()`	The Stuart test for marginal homogeneity
`Tang_asymptotic_score_CI_paired_2x2()`	The Tang asymptotic score confidence interval for the ratio of paired probabilities
`Tango_asymptotic_score_CI_paired_2x2()`	The Tango asymptotic score confidence interval for the difference between paired probabilities
`Transformed_Blaker_exact_CI_paired_2x2()`	The Transformed Blaker exact confidence interval for the conditional odds ratio
`Transformed_Clopper_Pearson_exact_CI_paired_2x2()`	The Transformed Clopper-Pearson exact confidence interval for the conditional odds ratio
`Transformed_Clopper_Pearson_midP_CI_paired_2x2()`	The Transformed Clopper-Pearson mid-P confidence interval for the conditional odds ratio
`Transformed_Wilson_score_CI_paired_2x2()`	The Transformed Wilson score confidence interval for the conditional odds ratio
`Trend_estimate_CI_tests_rx2()`	Trend estimate for linear and logit models
`Uncorrected_asymptotic_score_CI_2x2()`	The uncorrected asymptotic score confidence interval for the odds ratio
`Wald_CI_1x2()`	The Wald confidence interval for the binomial probability
`Wald_CI_2x2()`	The Wald confidence interval for the difference between probabilities
`Wald_CI_AgrestiMin_paired_2x2()`	The Wald confidence interval for the difference between paired probabilities
`Wald_CI_BonettPrice_paired_2x2()`	The Wald confidence interval for the difference between paired probabilities
`Wald_CI_CC_1x2()`	The Wald CI with CC for the binomial probability
`Wald_CI_CC_2x2()`	The Wald confidence interval for the difference between probabilities
`Wald_CI_OR_Laplace_paired_2x2()`	The Wald confidence interval for the conditional odds ratio with Laplace adjustment
`Wald_CI_OR_paired_2x2()`	The Wald confidence interval for the conditional odds ratio
`Wald_CI_diff_CC_paired_2x2()`	The Wald confidence interval for the difference between paired probabilities
`Wald_CI_diff_paired_2x2()`	The Wald confidence interval for the difference between paired probabilities
`Wald_CI_ratio_paired_2x2()`	The Wald confidence interval for the ratio of paired probabilities
`Wald_test_1x2()`	The Wald test for the binomial probability (pi)
`Wald_test_CC_1x2()`	The Wald test with continuity correction for the binomial probability
`Wald_test_and_CI_common_diff_stratified_2x2()`	The Wald test and CI for a common difference between probabilities
`Wald_test_and_CI_common_ratio_stratified_2x2()`	The Wald test and CI for a common ratio of probabilities
`Wald_test_and_CI_marginal_mean_ranks_paired_cxc()`	The Wald test and confidence interval for the difference between marginal mean ranks / ridits
`Wald_test_and_CI_marginal_mean_scores_paired_cxc()`	The Wald test and confidence interval for the difference between marginal mean scores
`Wilson_score_CI_1x2()`	The Wilson score confidence interval
`Wilson_score_CI_CC_1x2()`	The Wilson score confidence interval with continuity correction for the binomial probability
`Woolf_logit_CI_2x2()`	The Woolf logit confidence interval for the odds ratio
`Woolf_test_and_CI_stratified_2x2()`	The Woolf test and CI for a common odds ratio
`Z_unpooled_test_2x2()`	The Z-unpooled test for association in 2x2 tables
`bentur_2009`	Airway hyper-responsiveness before and after stem cell transplantation
`calc_Pvalue_4x2()`	Calculate probability
`calc_Pvalue_5x2()`	Calculate probability
`calc_prob()`	Calculate probability
`calculate_limit_lower()`	Calculate the lower limit of a confidence interval
`calculate_limit_upper()`	Calculate the upper limit of a confidence interval
`cavo_2012`	Complete response before and after consolidation therapy
`chap1`	Chapter 1: Introduction
`chap10`	Chapter 10: Stratified 2x2 Tables and Meta-Analysis
`chap2`	Chapter 2: The 1x2 Table and the Binomial Distribution
`chap3`	Chapter 3: The 1xc Table and the Multinomial Distribution
`chap4`	Chapter 4: The 2x2 Table
`chap5`	Chapter 5: The Ordered rx2 Table
`chap6`	Chapter 6: The Ordered 2xc Table
`chap7`	Chapter 7: The rxc Table
`chap8`	Chapter 8: The Paired 2x2 Table
`chap9`	Chapter 9: The Paired cxc Table
`contingencytables-package` `contingencytables`	Statistical Analysis of Contingency tables
`contingencytables_result()`	contingencytables_result class
`doll_hill_1950`	Smoking and lung cancer
`.onAttach()`	Prints welcome message on package load
`ezra_2010`	Floppy eyelid syndrome vs obstructive sleep apnea
`fischer_1999`	A comparison between serial and retrospective measurements
`fleiss_2003`	Table 13.6, page 382, of Fleiss et al. (2003)
`fontanella_2008`	The Adolescent Placement Study
`gamma_coefficient_rxc()`	The gamma coefficient
`gamma_coefficient_rxc_bca()`	The gamma coefficient with the bias-corrected and accelerated boostrap confidence interval
`hine_1989`	Prophylactice use of Lidocaine in myocardial infarction
`hypothetical`	Hypothetical experiment
`indredavik_2008`	Elevated troponin T levels in stroke patients
`lampasona_2013`	A case-control study of GADA exposure on IPEX syndrome
`ligarden_2010`	Ligarden et al., 2010
`linear_by_linear_test_rxc()`	The linear-by-linear test for association
`list_functions()`	List functions from a chapter
`lydersen_2012a`	Postoperative nausea
`mills_graubard_1987`	Alcohol consumption and malformations
`perondi_2004`	An RCT of high vs standard dose of epinephrine
`peterson_2007`	Pretherapy susceptability of pathogens
`print(<contingencytables_result>)`	Output from a contingency tables method
`ritland_2007`	The association between CHRNA4 genotype and XFS
`score_test_statistic()`	Calculate ML estimates
`singh_2010`	The number of n-th order male births
`snp6498169`	Genotype counts for SNP rs 6498169 in RA patients
`stratified_2x2_tables()`	Stratified 2x2 tables
`table_7.3` `vanbalen_2003`	Treatment for ear infection
`table_7.4` `mangerud_2014_PA`	Psychiatric Diagnoses and Physical Activity
`table_7.5` `mangerud_2014_BMI`	Psychiatric diag. vs BMI with hyperkinetic disorders as reference category
`table_7.6` `lund_2012`	Low Birth Weight vs psychiatric morbitidy with control as reference category
`table_7.7` `jullumstroe_2009`	Colorectal cancer (Table 7.7)
`table_7.8` `bofin_2004`	Breast Tumor
`table_7.9` `breidablik_2008`	Self-rated health (Table 7.9)
`tea`	A lady tasting a cup of tea
`the_1x2_table_CIs()`	The 1x2 Table CIs
`the_1x2_table_tests()`	The 1x2 Table tests
`the_1xc_table_CIs()`	The 1xc table CIs
`the_1xc_table_tests()`	The 1xc table tests
`the_2x2_table_CIs_OR()`	The 2x2 table CIs odds ratio
`the_2x2_table_CIs_difference()`	The 2x2 table CIs difference
`the_2x2_table_CIs_ratio()`	The 2x2 table CIs ratio
`the_2x2_table_tests()`	The 2x2 table tests
`the_2xc_table()`	The 2xc table
`the_paired_2x2_table_CIs_OR()`	The Paired 2x2 table CIs OR
`the_paired_2x2_table_CIs_difference()`	The Paired 2x2 table CIs difference
`the_paired_2x2_table_CIs_ratio()`	The Paired 2x2 table CIs ratio
`the_paired_2x2_table_tests()`	The Paired 2x2 table tests
`the_paired_cxc_table_nominal()`	The Paired CxC table - nominal
`the_paired_cxc_table_ordinal()`	The Paired CxC table - ordinal
`the_rx2_table()`	The rx2 table
`the_rxc_table()`	The rxc table
`validateArguments()`	Validate arguments of a function

Reference

All functions