Cross validation
Significance test for GPA
G-test for binary variables
Anova Tables for Cumulative Link (Mixed) Models
Significance test based on cross-validation
Pairwise comparisons after a G-test for given probabilities
Significance test for CDA
Cross validation
Pairwise comparisons after a G-test
G-test
Paired plot of multivariate analyses
Cross validation
Correlation circle of multivariate analyses
Type II permutation test for constrained multivariate analyses
Biplot of multivariate analyses
Loadings of multivariate analyses
Loading plot of multivariate analyses
Odds-ratio (multinomial regression)
Type II permutation MANOVA using distance matrices
Correlations of multivariate analyses
Cross model validation
Trajectory plot of multivariate analyses
Back-transformation of EMMeans
Plotting of multivariate analyses
Score plot of multivariate analyses
Pearson's Chi-squared test for binary variables
QQ-plot for factor levels
Expected counts for comparison of proportions to given values
Cochran's Q test
Cramer's association coefficient
Significance test based on cross (model) validation
Pairwise comparisons after a chi-squared test for given probabilities
Shapiro-Wilk test for factor levels
Martingale residuals of a Cox model
Synthesis quality of multivariate analyses
Dendrogram and number of groups to be chosen
Deprecated functions in RVAideMemoire package
Graphical adujstment of a simple binary logistic regression to data
Scores of multivariate analyses
Individual contributions in regression
multinomial.theo.multcomp
Pairwise comparisons after an exact multinomial test for given probabilities
Fisher's exact test for binary variables
Fligner-Policello test
Pairwise comparisons using Fisher's exact test
Pairwise comparisons after a chi-squared goodness-of-fit test
Pearson's Chi-squared test for comparison of response probabilities to given values
Bootstrap
QQ-plot for factor levels
Univariate correlation test for multiple variables
Variable Importance in the Projection (VIP)
Permutation Analysis of Variance
Proportions and standard errors
Survivor curve
Pairwise comparisons after a test for given proportions
Simple analysis of model residuals
Tests for (semi-)partial association/correlation between paired samples
Non parametric pairwise comparisons for paired data
Shapiro-Wilk test for factor levels
Wilcoxon sign test
Histogram for factor levels
Condition number of the Hessian matrix of a multinomial log-linear model
Cramer's association coefficient
Coordinates of projected points
Creating a nls model for logistic regression from fitted values of a glm model
Pairwise comparisons of groups displayed on a factorial map
Pairwise permutation tests based on cross (model) validation
Testing and Plotting Procedures for Biostatistics
Expected counts for comparison of response probabilities to given values
Comparison of several Pearson's linear correlation coefficients
Cumulative Distribution Function of a known discrete distribution
Multivariate normality QQ-Plot
Comparison of 2 Pearson's linear correlation coefficients
Coefficient of variation
Permutation F test to compare two variances
Sequence generation
Permutation Student's t-test
Univariate comparison of groups for multiple variables
Univariate comparison of groups for multiple binary variables
Pairwise comparisons for CDA
Pairwise Mood's median tests
Shapiro-Wilk multivariate normality test
Pairwise comparisons for proportions using G-tests
Predict method for CDA
Pairwise comparisons after a test for given probabilities
Standardization of a data frame based on another data frame
Pairwise permutation MANOVAs
Confidence interval of a Spearman's rank correlation coefficient
Significance tests of coefficients (multinomial regression)
User defined contrasts for EMMeans
Synthesis quality of multivariate analyses
Weighted arithmetic mean
Pairwise comparisons after an exact multinomial test
Dummy responses
Mode
Significance test for the covariance between two datasets
Exact multinomial test
Empirical logistic transformation
Mood's median test
Least rectangles linear regression
Equality of a Pearson's linear correlation coefficient to a given value
Observed rating frequencies
Predict method for cross-validated CDA submodels
Predict method for cross-validated submodels
Confidence intervals of a simple linear regression
Estimation of overdispersion with glmer Re-computation of an ordination using given row weights
Pairwise F tests
Slope of a hand-defined line
Pairwise permutation t tests
Pairwise permutation F tests
EMMeans for Cumulative Link (Mixed) Models
Wald tests for comparison of proportions
Comparison of several Spearman's rank correlation coefficients
(Semi-)Partial correlation
Divide into groups respecting relative proportions
Permutation Pearson's correlation test
Standard error
Wald tests for comparison of proportions to theoretical values
Permutation Bartlett's test of homogeneity of variances
"Correlation" of variables to axes in MCA or mix analyses
Wald test for comparison of a proportion to a theoretical value