wlmmLasso: Weighted GlmmLASSO

In SOCR/DataSifterII: Data Sifter II Algorithm to Create Privacy-preserving Time-varying Data

Description

GLMM LASSO with weights for each record. This can be used when we have a biased sample.

Usage

wlmmLasso(
  x,
  y,
  yname,
  weights,
  rowid,
  ID = "ID",
  lvars,
  family = gaussian(link = "identity"),
  withlong = FALSE
)

Arguments

x	Data frame or matrix of candidate predictors time-invariant and longitudinal from the full data.
y	Vector of longitudinal outcome of interest.
weights	Sampling weights.
rowid	Observed row id this will match with the length of weights.
lvars	Longitudinal variable names.
family	family object to specify the link function for outcome.
withlong	a logical parameter to decide if the weighted linear mixed model depends on longitudinal predictors.

Value

The GLMM LASSO model under given weights.

SOCR/DataSifterII documentation built on Dec. 15, 2021, 10:29 a.m.