bin_search_balancer: Find the minimal amount of regularization possible

In ebenmichael/ents: Maximum Entropy Synthetic Controls

Description

Find the minimal amount of regularization possible

Usage

bin_search_balancer(outcomes, metadata, trt_unit = 1, start, end, by,
  link = c("logit", "linear", "pos-linear"), regularizer = c("l1", "l2",
  "linf"), normalized = TRUE, outcome_col = NULL, cols = list(unit =
  "unit", time = "time", outcome = "outcome", treated = "treated"),
  opts = list())

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
start	Starting value of tolerances
end	Ending value of tolerances
by	Step size of tolerances
link	Link function for weights
regularizer	Dual of balance criterion
normalized	Whether to normalize the 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
opts	Optimization options MAX_ITERS Maximum number of iterations to run EPS Error tolerance

Value

outcomes with additional synthetic control added and weights

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