determine_PR: Determine whether each identifier has a complete response...

In wfforrest/maeve: Modeling Accessories Enabling Visualization of Experiments

Description

Determine whether each identifier has a complete response (CR) at the end of study (EOS).

Usage

determine_PR(YY, min_val, PR_threshold, truncate_at_last_fit_day = FALSE)

Arguments

YY	data.frame with times and original-scale tumor burdens, etc., for each of several identifiers. Typically this is from the cleaned output data of maeve::fit_longitudinal_models().
min_val	numeric threshold below which a tumor size is classified as a Complete Response (CR). CRs by this criterion get excluded from the PR count.
PR_threshold	numeric threshold below which a tumor size is classified as a Partial Response (PR).
truncate_at_last_fit_day	logical: Use days only for which the group had a model fit.

Value

A numeric sum total of Partial Response cases recorded in the group.

Author(s)

Bill Forrest <[e-mail]>

Bill Forrest [e-mail]

References

www.r-project.org

Examples

 cat('Currently no working example for unexported function determine_PR().')

wfforrest/maeve documentation built on Jan. 1, 2021, 12:47 p.m.