powRICLPM
powRICLPM is an R package that performs a
power analysis for the random intercept cross-lagged panel model
(RI-CLPM) in a simple and user-friendly way. It implements the strategy
as proposed by Mulder (in press). Its main functionalities include:
- Setting
up and performing a basic power analysis: Obtain the power to reject
the null-hypothesis of no effect (as well as other performance measures,
such as bias, mean square error, etc.) for all parameters in the RI-CLPM
given a specific sample size, number of repeated measures, and
proportion of between-unit variance (among other things). This can be
done across multiple experimental conditions simultaneously (i.e.,
across varying numbers of repeated measures, proportions of between-unit
variance, etc.).
- Extending
the basic power analysis setup: This includes the option to perform
bounded estimation, impose various (stationarity) constraints over time
on parameters of the estimation model, and include the estimation of
measurement error.
- Create
Mplus model syntax: Create syntax for performing a RI-CLPM power
analysis using Mplus.
Documentation
There are four sources of powRICLPM documentation:
- The rationale for the power analysis strategy implemented here can
be found in Mulder (in press).
- Every user-facing function in the package is documented, and the
documentation can be accessed by running
?function_name in
the R console, e.g., ?powRICLPM. These function references
contain explanations on how to use the functions, as well as technical
details.
- There are four main vignettes (accessible via the ‘Vignettes’ tab),
describing functionalities and analysis options of this package more
generally. The ‘Example’ vignette serves as the supplementary material
to Mulder (in press), and contains the R code for an illustrative
example using the
powRICLPM package.
- The FAQ
contains answers to frequently asked question that reach me via
email.
Installation
You can install the development version of powRICLPM
from GitHub with:
install.packages("devtools")
devtools::install_github("jeroendmulder/powRICLPM")
Citing powRICLPM
You can cite the R-package with the following citation:
Mulder, J.D., (in press). Power analysis for the random intercept
cross-lagged panel model using the powRICLPM R-package
If you have ideas, comments, or issues you would like to raise,
please get in touch.