Simple Generalizability Theory for Crossed and Nested Designs

Provides a small, beginner-friendly interface for estimating variance components in simple generalizability theory designs. The package currently supports a fully crossed persons-by-items design and a simple items-within-person nested design, along with design-study summaries for relative and absolute decisions.

gtheoryr

gtheoryr is a small R package for simple generalizability theory workflows. It is intentionally modest in scope so it is easy to understand, extend, and prepare for a first CRAN submission.

The package currently includes:

• gstudy_pxi() for a fully crossed persons-by-items design
• gstudy_nested_ip() for a simple balanced nested items-within-person design
• dstudy_pxi() for relative and absolute decision summaries
• dstudy_nested_ip() for a simple nested-design D-study

Install locally

install.packages("gtheoryr", repos = NULL, type = "source")

Quick example

library(gtheoryr)

scores <- data.frame(
  person = rep(c("P1", "P2", "P3"), each = 3),
  item = rep(c("I1", "I2", "I3"), times = 3),
  score = c(8, 7, 9, 5, 4, 6, 7, 6, 8)
)

gs <- gstudy_pxi(scores, person = "person", item = "item", score = "score")
gs

dstudy_pxi(gs, n_items = 6)

CRAN readiness notes

Before submitting to CRAN, you should:

1. Verify that the maintainer details in DESCRIPTION are correct.
2. Run R CMD check --as-cran gtheoryr.
3. Add a cran-comments.md file summarizing check results.
4. Consider adding tests and a vignette once the API settles down.