Package index • cmstatr

All functions
`ad_ksample()`	Anderson–Darling K-Sample Test
`anderson_darling_normal()` `anderson_darling_lognormal()` `anderson_darling_weibull()`	Anderson–Darling test for goodness of fit
`augment(<mnr>)`	Augment data with information from an `mnr` object
`basis_normal()` `basis_lognormal()` `basis_weibull()` `basis_pooled_cv()` `basis_pooled_sd()` `basis_hk_ext()` `basis_nonpara_large_sample()` `basis_anova()`	Calculate basis values
`calc_cv_star()`	Calculate the modified CV from the CV
`carbon.fabric` `carbon.fabric.2`	Sample data for a generic carbon fabric
`condition_summary()`	Produce basis summary statistics for each (environmental) condition
`cv()`	Calculate the coefficient of variation
`equiv_change_mean()`	Equivalency based on change in mean value
`equiv_mean_extremum()`	Test for decrease in mean or minimum individual
`geom_jitter_failure_mode()`	Jittered points showing (possibly multiple) failure modes
`glance(<adk>)`	Glance at a `adk` (Anderson–Darling k-Sample) object
`glance(<anderson_darling>)`	Glance at an `anderson_darling` object
`glance(<basis>)`	Glance at a basis object
`glance(<equiv_change_mean>)`	Glance at a `equiv_change_mean` object
`glance(<equiv_mean_extremum>)`	Glance at an `equiv_mean_extremum` object
`glance(<levene>)`	Glance at a `levene` object
`glance(<mnr>)`	Glance at a `mnr` (maximum normed residual) object
`hk_ext_z()` `hk_ext_z_j_opt()`	Calculate values related to Extended Hanson–Koopmans tolerance bounds
`k_equiv()`	k-factors for determining acceptance based on sample mean and an extremum
`k_factor_normal()`	Calculate k factor for basis values (\(kB\), \(kA\)) with normal distribution
`levene_test()`	Levene's Test (Median) for Equality of Variance
`maximum_normed_residual()`	Detect outliers using the maximum normed residual method
`nested_data_plot()`	Create a plot of nested sources of variation
`nonpara_binomial_rank()`	Rank for distribution-free tolerance bound
`normalize_group_mean()`	Normalize values to group means
`normalize_ply_thickness()`	Normalizes strength values to ply thickness
`separate_failure_modes()`	Separate multiple failure modes into multiple rows
`stat_esf()`	Empirical Survival Function
`stat_normal_surv_func()`	Normal Survival Function
`transform_mod_cv_ad()` `transform_mod_cv()`	Transforms data according to the modified CV rule

Reference

All functions