truncComp: Two-sample comparison of truncated continuous outcome

In aejensen/TruncComp: Two-sample comparison of truncated continuous outcome by parametric or semi-parametric maximum likelihood

Two-sample comparison of truncated continuous outcome

Description

Two-sample comparison of truncated continuous outcome by parametric of semi-parametric maximum likelihood.

Usage

truncComp(y, a, z, method, conf.level = 0.95, init = NULL)

Arguments

y	outcome
a	truncation indicator
z	binary treatment indicator
method	LRT for parametric maximum likelihood and SPLRT for semi-parametric maximum likelihood
conf.level	The level for the confidence intervals (default = 0.95)
init	An optinal named list of initial values for the parametric maximum likelihood optimaztion. If uninitialized the function tried to calculate sensible initial values by moment estimation.

Value

Returns an S3 object of class truncComp. The object includes the following elements:

muDelta	hej
muDeltaCI	hej
alphaDelta	hej
alphaDeltaCI	hej
W	hej
p	hej
method	hej
conf.level	hej
success	hej
error	hej
init	hej

Author(s)

Andreas Kryger Jensen <[e-mail]>

See Also

print.truncComp, summary.truncComp

Examples

library(TruncComp)
d <- simTruncData(n = 100, mu0 = 3, mu1 = 3.5, pi0 = 0.6, pi1 = 0.5)
truncComp(d$Y, d$A, d$Z, method="LRT")
truncComp(d$Y, d$A, d$Z, method="SPLRT")

aejensen/TruncComp documentation built on Feb. 8, 2023, 3:42 p.m.