stepp.edge: The method performs an edge analysis on the STEPP GLM model...

In stepp: Subpopulation Treatment Effect Pattern Plot (STEPP)

The method performs an edge analysis on the STEPP GLM model estimate objects.

Description

Perform an edge analysis on the STEPP GLM model estimate objects.

Usage

  stepp.edge(est, criteria, j=2, boot=0, seed=17, showstatus=TRUE, debug=0)

Arguments

est	a STEPP estimate object.
criteria	criteria to be used to identify the cut point; abs or rel scale and by how much.
j	number of treatment, default to 2
boot	perform a bootstrap analysis, default is none (0).
seed	seed used for bootstrap, default is 17.
showstatus	show the status of bootstrap, default is TRUE.
debug	internal debug flag, default is 0

Details

The criteria argument is a list with three elements:

trtid - the treatment id;

scale - "A" for absolute scale or "R" for relative scale;

threshold - amount in either absolute or relative scale that would consider a jump.

e.g. crit <- list(trtid=1, scale="A", threshold=-0.03)

Only support for STEPP GLM models for now. Bootstrap is computational time intensive but it will provide you with a quantification of the variability of the edge identified.

Value

It returns the result of the identified edge with the STEPP subpopulations.

Author(s)

Wai-ki Yip

See Also

stwin

stepp documentation built on June 18, 2022, 5:06 p.m.