sjstats-package |
Collection of Convenient Functions for Common Statistical Computations |
anova_stats |
Effect size statistics for anova |
autocorrelation |
Check model assumptions |
bootstrap |
Generate nonparametric bootstrap replications |
boot_ci |
Standard error and confidence intervals for bootstrapped estimates |
boot_est |
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 |
cohens_f |
Effect size statistics for anova |
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 |
Effect size statistics for anova |
find_beta |
Determining distribution parameters |
find_beta2 |
Determining distribution parameters |
find_cauchy |
Determining distribution parameters |
find_normal |
Determining distribution parameters |
get_re_var |
Random effect variances |
gmd |
Gini's Mean Difference |
grpmean |
Summary of mean values by group |
hdi |
Compute high density intervals (HDI) for MCMC samples |
heteroskedastic |
Check model assumptions |
hoslem_gof |
Hosmer-Lemeshow Goodness-of-fit-test |
icc |
Intraclass-Correlation Coefficient |
inequ_trend |
Compute trends in status inequalities |
is_prime |
Find prime numbers |
is_singular |
Convergence test for mixed effects models |
link_inverse |
Access information from model objects |
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 |
model_frame |
Access information from model objects |
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 |
omega_sq |
Effect size statistics for anova |
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 |
pca |
Tidy summary of Principal Component Analysis |
pca_rotate |
Tidy summary of Principal Component Analysis |
phi |
Measures of association for contingency tables |
pred_accuracy |
Accuracy of predictions from model fit |
pred_vars |
Access information from model objects |
prop |
Proportions of values in a vector |
props |
Proportions of values in a vector |
p_value |
Get p-values from regression model objects |
r2 |
Compute r-squared of (generalized) linear (mixed) models |
reliab_test |
Check internal consistency of a test or questionnaire |
resp_val |
Access information from model objects |
resp_var |
Access information from model objects |
re_var |
Random effect variances |
rmse |
Compute model quality |
robust |
Robust standard errors for regression models |
rope |
Compute high density intervals (HDI) for MCMC samples |
rse |
Compute model quality |
scale_weights |
Rescale design weights for multilevel analysis |
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 |
svy_md |
Weighted statistics for variables |
table_values |
Expected and relative table values |
tidy_stan |
Tidy summary output for stan models |
typical_value |
Return the typical value of a vector |
var_names |
Access information from model objects |
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 |