A Calculator for Single-Case Effect Sizes
Calculate effect sizes from a dataset for multiple series
Calculate effect sizes
Calculate phase pair numbers
A function to estimate the gradual effects model for an SCD
Robust improvement rate difference
Log-odds ratio
Log ratio of medians
Log-response ratio
Non-overlap of all pairs
Percentage of all non-overlapping data (PAND)
Percentage exceeding the median
Percentage of non-overlapping data
Percent of Goal Obtained
SCD effect size calculator
Gradual Effects Model SCD Calculator
Within-case standardized mean difference
Tau-BC
Tau-U
Tau (non-overlap)
Provides R functions for calculating basic effect size indices for single-case designs, including several non-overlap measures and parametric effect size measures, and for estimating the gradual effects model developed by Swan and Pustejovsky (2018) <DOI:10.1080/00273171.2018.1466681>. Standard errors and confidence intervals (based on the assumption that the outcome measurements are mutually independent) are provided for the subset of effect sizes indices with known sampling distributions.