Calculating one or more effect size estimates

Functions for calculating one or more effect size estimates.

batch_calc_ES()

Calculate effect sizes from a dataset for multiple series

calc_ES()

Calculate effect sizes

calc_phase_pairs()

Calculate phase pair numbers

Calculating non-overlap effect size indices

Functions for calculating non-overlap effect size indices for single-case designs.

IRD()

Robust improvement rate difference

NAP()

Non-overlap of all pairs

PAND()

Percentage of all non-overlapping data (PAND)

PEM()

Percentage exceeding the median

PND()

Percentage of non-overlapping data

Tau()

Tau (non-overlap)

Tau_BC()

Tau-BC

Tau_U()

Tau-U

Calculating parametric effect size indices

Functions for calculating parametric effect size indices for single-case designs.

LRRd() LRRi()

Log-response ratio

LRRd() LRRi()

Log-response ratio

LOR()

Log-odds ratio

LRM()

Log ratio of medians

SMD()

Within-case standardized mean difference

Estimating the gradual effects model

Function for estimating the gradual effects model for single-case designs

gem_scd()

A function to estimate the gradual effects model for an SCD

Shiny App

Function to launch shiny app

SCD_effect_sizes()

SCD effect size calculator

shine_gem_scd()

Gradual Effects Model SCD Calculator

Example Datasets

Example datasets from single-case designs

McKissick

McKissick et al. (2010)

Schmidt2007

Schmidt (2007)

Schmidt2012

Schmidt and Stichter (2012)

Shogren

Shogren et al. (2004)

Thorne

Thorne and Kamps (2008)

Wright2012

Wright & McCathren (2012)