interpolate_time_to_threshold: Interpolate the first time at which a group's fitted curve...

In wfforrest/maeve: Modeling Accessories Enabling Visualization of Experiments

Description

Interpolate the first time at which a group's fitted curve increases by a given threshold over its baseline.

Usage

interpolate_time_to_threshold(
  YY,
  metric,
  full_inverse_function,
  threshold = 2,
  grid_n = 1000,
  auto_round = TRUE,
  round_to = 1
)

Arguments

YY	a one-group subset of the 'clean_DF_pred' data frame returned from maeve::fit_longitudinal_models().
metric	character vector specifying what metric(s) to use in longitudinal modeling.
full_inverse_function	R function inverting the data transformation, taking the fitted values from YY back to the original units.
threshold	numeric fold-change (in the original units, after "full_inverse_function()") from baseline that is desired to detect.
grid_n	numeric number of points in the grid for interpolation.
auto_round	logical: whether to automatically round the interpolated time to precision specified by "round_to"
round_to	numeric number of digits to which we should round the interpolated progression time.

Value

A numeric progression time.

Author(s)

Bill Forrest <[e-mail]>

Bill Forrest [e-mail]

References

www.r-project.org

Examples

 cat('No working example for unexported function interpolate_time_to_threshold().')

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