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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.