design_matrix

Create a design matrix containing a linear trend, a treatment effect, and a 
trend-by-treatment interaction for a single-case design with <code>m</code> cases and <code>n</code> 
measurement occasions.

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

design_matrix function

<dl><dt>m</dt>
<dd>number of cases</dd>
<dt>n</dt>
<dd>number of time points</dd>
<dt>treat_times</dt>
<dd>(Optional) vector of length <code>m</code> listing treatment introduction times for each case.</dd>
<dt>center</dt>
<dd>centering point for time trend.</dd></dl>

Arguments

Create a design matrix for a single-case design — design_matrix

<dl>

<dt>m</dt>
<dd>number of cases</dd>


<dt>n</dt>
<dd>number of time points</dd>


<dt>treat_times</dt>
<dd>(Optional) vector of length <code>m</code> listing treatment introduction times for each case.</dd>


<dt>center</dt>
<dd>centering point for time trend.</dd>

</dl>

design_matrix: Create a design matrix for a single-case design

Description

Usage

Value

Arguments

Examples