get_ridgeaug_cov: Fit synthetic controls on outcomes

In ebenmichael/ents: Maximum Entropy Synthetic Controls

Description

Fit synthetic controls on outcomes

Usage

get_ridgeaug_cov(outcomes, metadata, covs, trt_unit = 1, lambda = NULL,
  scm = 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
covs	Dataframe of covariates
trt_unit	Unit that is treated (target for regression), default: 0
lambda	Ridge hyper-parameter, if NULL use CV
scm	Include SCM 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.