Functions and Data for the Book "Applied Nonparametric Statistical Methods", 5th Edition
Perform Ansari-Bradley test
Perform Binomial test
Calculate Blomqvist coefficient
Perform Bowker's extension of McNemar's test
Perform Breslow and Day test
Create bootstrap confidence interval
Perform Chi-squared test
Perform Cochran Q test
Calculate Cohen's kappa
Perform Conover test using standard or squared ranks
Perform Control median test
Perform Cox-Stuart test
Perform Cramer-von Mises test
Perform Fisher exact test
Perform Least Significant Differences test after the Friedman test
Perform Friedman test
Perform Gehan-Wilcoxon test
Perform Hettmansperger and Elmore interaction test
Perform Hodges-Ajne test
Perform Jonckheere-Terpstra test
Calculate Kendall's concordance
Perform Kendall's tau
Perform Least Significant Differences test after the Kruskal-Wallis te...
Perform Kruskal-Wallis test
Perform Kruskal-Wallis test with van der Waerden scores
Perform Smirnov test and Kolgomorov test
Perform Likelihood ratio test
Performs Lilliefors test of Normality
Perform Linear by linear association test
Perform Log odds ratio test
Perform logrank test
Perform Mantel-Haenszel test
Perform Median test
Perform Mood test
Perform Moses test for extreme reactions
Calculate Noether approximation
Perform Normal Scores test
Perform test for difference in odds ratios
Calculate Pearson beta
Calculate Pearson correlation
Perform Peto-Wilcoxon test
Perform Pitman test
Prints an ANSMstat object
Prints an ANSMtest object
Perform Range test
Perform Runs test for two categories
Perform Runs test for three or more categories
Perform Sign test
Perform Shapiro-Wilk test of Normality
Perform Siegel-Tukey test
Calculate Spearman beta
Calculate Spearman correlation
Calculate Theil-Kendall beta
Perform Wilcoxon-Mann-Whitney test
Perform Wilcoxon signed-rank test
Perform Zelen test
Functions and data to accompany the 5th edition of the book "Applied Nonparametric Statistical Methods" (4th edition: Sprent & Smeeton, 2024, ISBN:158488701X), the revisions from the 4th edition including a move from describing the output from a miscellany of statistical software packages to using R. While the output from many of the functions can also be obtained using a range of other R functions, this package provides functions in a unified setting and give output using both p-values and confidence intervals, exemplifying the book's approach of treating p-values as a guide to statistical importance and not an end product in their own right. Please note that in creating the ANSM5 package we do not claim to have produced software which is necessarily the most computationally efficient nor the most comprehensive.