get_screensyn: Fit synthetic controls on estimated outcomes under control

In ebenmichael/ents: Maximum Entropy Synthetic Controls

Description

Fit synthetic controls on estimated outcomes under control

Usage

get_screensyn(outcomes, metadata, trt_unit = 1, screenfunc = c("LAS", "2"),
  weightfunc = c("SC", "ENT"), opts.screen = NULL, opts.weights = NULL,
  outcome_col = NULL, 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	Unit that is treated (target for regression), default: 0
screenfunc	What function to use to impute control outcomes LAS=LASSO on outcome model, 2=LASSO on outcome and L infinity dual on selection
weightfunc	What function to use to fit weights SC=Vanilla Synthetic Controls, ENT=Maximum Entropy
opts.screen	Optional options for fitting prognostic score
opts.weights	Optional options for fitting synth weights
outcome_col	Column name which identifies outcomes, if NULL then assume only one outcome
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.