get_residaug: Fit outcome model and balance residuals

In ebenmichael/ents: Maximum Entropy Synthetic Controls

Description

Fit outcome model and balance residuals

Usage

get_residaug(outcomes, metadata, trt_unit = 1, progfunc = c("GSYN", "COMP",
  "MCP", "CITS", "CausalImpact"), weightfunc = c("SC", "ENT", "SVD", "NONE"),
  opts.prog = 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
progfunc	What function to use to impute control outcomes GSYN=gSynth, COMP=softImpute, MCP=MCPanel
weightfunc	What function to use to fit weights SC=Vanilla Synthetic Controls, ENT=Maximum Entropy SVD=SCM after dimension reduction, NONE=No reweighting, just outcome model
opts.prog	Optional options for gsynth
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.