sjstats-package |
Collection of Convenient Functions for Common Statistical Computations |
bootstrap |
Generate 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 |
chisq_gof |
Chi-square goodness-of-fit-test |
cod |
Tjur's Coefficient of Discrimination |
converge_ok |
Convergence test for mixed effects models |
cramer |
Cramer's V for a contingency table |
cronb |
Cronbach's Alpha for a matrix or data frame |
cv |
Coefficient of Variation |
deff |
Design effects for two-level mixed models |
efc |
Sample dataset from the EUROFAMCARE project |
eta_sq |
Eta-squared of fitted anova |
get_re_var |
Random effect variances |
hoslem_gof |
Hosmer-Lemeshow Goodness-of-fit-test |
icc |
Intraclass-Correlation Coefficient |
levene_test |
Plot Levene-Test for One-Way-Anova |
mean_n |
Row means with min amount of valid values |
merMod_p |
Get p-values for merMod objects |
mic |
Mean Inter-Item-Correlation |
mwu |
Mann-Whitney-U-Test |
odds_to_rr |
Get relative risks estimates from logistic regressions |
overdisp |
Check overdispersion of GL(M)M's |
phi |
Phi value for contingency tables |
pred_vars |
Get predictor and response variables from models |
r2 |
Compute R-squared of (generalized) linear (mixed) models |
reliab_test |
Performs a reliability test on an item scale |
resp_val |
Get predictor and response variables from models |
resp_var |
Get predictor and response variables from models |
re_var |
Random effect variances |
rmse |
Root Mean Squared Error (RMSE) |
rse |
Residual Standard Error (RSE) |
se |
Standard Error for variables |
sjstats |
Collection of Convenient Functions for Common Statistical Computations |
smpsize_lmm |
Sample size for linear mixed models |
std_beta |
Standardized Beta coefficients and CI of lm and mixed models |
table_values |
Expected and relative table values |
weight |
Weight a variable |
weight2 |
Weight a variable |
wtd_sd |
Weighted standard deviation for variables |
wtd_se |
Weighted standard error for variables |