forskai (R)

Recoverability testing for research design. ForskAI examines whether a planned study can recover the effect it is meant to detect — before data collection begins. A passed design test is design evidence under stated assumptions; never validity about people, never a guarantee of results.

This is the public entry point for ForskAI in R. It currently carries the project's identity and will grow into the thin client for the hosted engine; the recoverability engine itself is not distributed here.

# From r-universe (no build tools needed):
install.packages("forskai", repos = "https://heidihelena.r-universe.dev")

# Or from GitHub:
# install.packages("remotes")
remotes::install_github("heidihelena/forskai-r")

forskai::forskai_info()

• Service: https://www.forskai.com
• Example report: https://www.forskai.com/example

Note on distribution. Unlike PyPI, CRAN does not let you reserve a name with a placeholder — a package must pass review, and CRAN may decline a do-nothing package. Until this package does something substantive, install it from r-universe or GitHub (above); submit to CRAN when the thin client lands. ForskAI is a product of Vahtian and is not a medical device.