Package index • presize

Descriptive measures

prec_mean(): Sample size or precision for a mean
prec_prop(): Sample size or precision for a proportion
prec_rate(): Sample size or precision for a rate

Absolute differences

prec_meandiff(): Sample size or precision for a mean difference
prec_riskdiff(): Sample size or precision for risk difference

Relative differences

prec_or(): Sample size or precision for an odds ratio
prec_riskratio(): Sample size or precision for risk ratio
prec_rateratio(): Sample size or precision for a rate ratio

Correlation measures

prec_cor(): Sample size or precision for correlation coefficient
prec_icc(): Sample size or precision for an intraclass correlation
prec_lim_agree(): Sample size or precision for limit of agreement on Bland-Altman plots
prec_kappa(): Sample size or precision for Cohen's kappa
prec_cronb(): Sample size or precision for Cronbach's alpha

Diagnostic measures

prec_sens() prec_spec(): Sample size and precision of sensitivity and specificity
prec_auc(): Sample size or precision for AUC
prec_lr() prec_pos_lr() prec_neg_lr(): Sample size or precision for likelihood ratios

Shiny app

launch_presize_app(): Presize shiny app