wls_se_ridgeaug: Weighted Least Squares Standard Errors

In ebenmichael/ents: Maximum Entropy Synthetic Controls

Description

Weighted Least Squares Standard Errors

Usage

wls_se_ridgeaug(outcomes, metadata, trt_unit = 1, pred_int = F, hc = 0,
  lambda = NULL, scm = T, ridge = T, cols = list(unit = "unit", time =
  "time", outcome = "outcome", treated = "treated"))

Arguments

outcomes	Tidy dataframe with the outcomes and meta data
metadata	Dataframe of metadata
trt_unit	Treated unit
pred_int	Whether to add outcome control variance to make pred interval
hc	Type of HC variance estimate (-1 for homoskedastic)
lambda	Ridge hyperparemter, default NULL
scm	Include SCM or not
ridge	Include ridge or not
cols	Column names corresponding to the units, time variable, outcome, and treated indicator

Value

outcomes with additional synthetic control added and weights

ebenmichael/ents documentation built on May 31, 2019, 8:45 p.m.