session_by_treatment

Calculate session-by-treatment interactions based on phases and
 session numbering.

Provides a set of tools for estimating hierarchical linear
models and effect sizes based on data from single-case designs.
Functions are provided for calculating standardized mean difference effect sizes that
are directly comparable to standardized mean differences estimated from between-subjects randomized experiments,
as described in Hedges, Pustejovsky, and Shadish (2012) <DOI:10.1002/jrsm.1052>;
Hedges, Pustejovsky, and Shadish (2013) <DOI:10.1002/jrsm.1086>;
Pustejovsky, Hedges, and Shadish (2014) <DOI:10.3102/1076998614547577>;
and Chen, Pustejovsky, Klingbeil, and Van Norman (2023) <DOI:10.1016/j.jsp.2023.02.002>.
Includes an interactive web interface.

James Pustejovsky

scdhlm

Estimating Hierarchical Linear Models for Single-Case Designs

Man Chen

Bethany Hamilton

session_by_treatment function

<dl><dt>phase</dt>
<dd>vector of treatment indicators or a character or factor vector indicating unique treatment phases.</dd>
<dt>session</dt>
<dd>numeric vector of measurement occasions.</dd>
<dt>trt_phase</dt>
<dd>character string indicating the phase value corresponding to
the treatment condition.</dd></dl>

Arguments

Calculate session-by-treatment interactions for a unique case — session_by_treatment

<dl>

<dt>phase</dt>
<dd>vector of treatment indicators or a character or factor vector indicating unique treatment phases.</dd>


<dt>session</dt>
<dd>numeric vector of measurement occasions.</dd>


<dt>trt_phase</dt>
<dd>character string indicating the phase value corresponding to
the treatment condition.</dd>

</dl>

session_by_treatment: Calculate session-by-treatment interactions for a unique case

Description

Usage

Arguments