auto_prior              Create default priors for brms-models
boot_ci                 Standard error and confidence intervals for
                        bootstrapped estimates
bootstrap               Generate nonparametric bootstrap replications
check_assumptions       Check model assumptions
cod                     Goodness-of-fit measures for regression models
converge_ok             Convergence test for mixed effects models
cv                      Compute model quality
cv_error                Test and training error from model
                        cross-validation
deff                    Design effects for two-level mixed models
efc                     Sample dataset from the EUROFAMCARE project
eta_sq                  Effect size statistics for anova
find_beta               Determining distribution parameters
fish                    Sample dataset
gmd                     Gini's Mean Difference
grpmean                 Summary of mean values by group
hdi                     Compute statistics for MCMC samples and Stan
                        models
icc                     Intraclass-Correlation Coefficient
inequ_trend             Compute trends in status inequalities
is_prime                Find prime numbers
link_inverse            Access information from model objects
mean_n                  Row means with min amount of valid values
mwu                     Mann-Whitney-U-Test
nhanes_sample           Sample dataset from the National Health and
                        Nutrition Examination Survey
odds_to_rr              Get relative risks estimates from logistic
                        regressions or odds ratio values
overdisp                Check overdispersion of GL(M)M's
p_value                 Get p-values from regression model objects
pca                     Tidy summary of Principal Component Analysis
phi                     Measures of association for contingency tables
pred_accuracy           Accuracy of predictions from model fit
prop                    Proportions of values in a vector
re_var                  Random effect variances
reliab_test             Check internal consistency of a test or
                        questionnaire
robust                  Robust standard errors for regression models
scale_weights           Rescale design weights for multilevel analysis
se                      Standard Error for variables or coefficients
se_ybar                 Standard error of sample mean for mixed models
sjstats-package         Collection of Convenient Functions for Common
                        Statistical Computations
smpsize_lmm             Sample size for linear mixed models
std_beta                Standardized beta coefficients and CI of linear
                        and mixed models
svyglm.nb               Survey-weighted negative binomial generalised
                        linear model
table_values            Expected and relative table values
tidy_stan               Tidy summary output for stan models
var_pop                 Calculate population variance and standard
                        deviation
weight                  Weight a variable
wtd_sd                  Weighted statistics for tests and variables
