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| sjstats-package | Collection of Convenient Functions for Common Statistical Computations |
| autocorrelation | Check model assumptions |
| bootstrap | Generate nonparametric bootstrap replications |
| boot_ci | Standard error and confidence intervals for bootstrapped estimates |
| boot_p | Standard error and confidence intervals for bootstrapped estimates |
| boot_se | Standard error and confidence intervals for bootstrapped estimates |
| check_assumptions | Check model assumptions |
| chisq_gof | Chi-square goodness-of-fit-test |
| cod | Tjur's Coefficient of Discrimination |
| converge_ok | Convergence test for mixed effects models |
| cramer | Measures of association for contingency tables |
| cronb | Check internal consistency of a test or questionnaire |
| cv | Coefficient of Variation |
| cv_compare | Test and training error from model cross-validation |
| 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 | Eta-squared of fitted anova |
| get_model_pval | Get p-values from regression model objects |
| get_re_var | Random effect variances |
| heteroskedastic | Check model assumptions |
| hoslem_gof | Hosmer-Lemeshow Goodness-of-fit-test |
| icc | Intraclass-Correlation Coefficient |
| inequ_trend | Compute trends in status inequalities |
| levene_test | Levene-Test for One-Way-Anova |
| md | Sum, mean and median for vectors |
| mean_n | Row means with min amount of valid values |
| mic | Check internal consistency of a test or questionnaire |
| mn | Sum, mean and median for vectors |
| mse | Compute model quality |
| multicollin | Check model assumptions |
| mwu | Mann-Whitney-U-Test |
| nhanes_sample | Sample dataset from the National Health and Nutrition Examination Survey |
| normality | Check model assumptions |
| odds_to_rr | Get relative risks estimates from logistic regressions or odds ratio values |
| or_to_rr | Get relative risks estimates from logistic regressions or odds ratio values |
| outliers | Check model assumptions |
| overdisp | Check overdispersion of GL(M)M's |
| phi | Measures of association for contingency tables |
| pred_accuracy | Accuracy of predictions from model fit |
| pred_vars | Get predictor and response variables from models |
| prop | Proportions of values in a vector |
| props | Proportions of values in a vector |
| r2 | Compute r-squared of (generalized) linear (mixed) models |
| reliab_test | Check internal consistency of a test or questionnaire |
| resp_val | Get predictor and response variables from models |
| resp_var | Get predictor and response variables from models |
| re_var | Random effect variances |
| rmse | Compute model quality |
| robust | Robust standard errors for regression models |
| rse | Compute model quality |
| sd_pop | Calculate population variance and standard deviation |
| se | Standard Error for variables or coefficients |
| se_ybar | Standard error of sample mean for mixed models |
| sjstats | Collection of Convenient Functions for Common Statistical Computations |
| sm | Sum, mean and median for vectors |
| smpsize_lmm | Sample size for linear mixed models |
| split_half | Check internal consistency of a test or questionnaire |
| std_beta | Standardized beta coefficients and CI of linear and mixed models |
| svy | Robust standard errors for regression models |
| svyglm.nb | Survey-weighted negative binomial generalised linear model |
| table_values | Expected and relative table values |
| var_pop | Calculate population variance and standard deviation |
| weight | Weight a variable |
| weight2 | Weight a variable |
| wtd_sd | Weighted statistics for variables |
| wtd_se | Weighted statistics for variables |
| xtab_statistics | Measures of association for contingency tables |
| zero_count | Check overdispersion of GL(M)M's |