get_ipw: Fit IPW weights with a logit propensity score model

Description Usage Arguments Value

Description

Fit IPW weights with a logit propensity score model

Usage

1
get_ipw(outcomes, metadata, alpha_w = NULL, net_param = 1)

Arguments

outcomes

Tidy dataframe with the outcomes and meta data

metadata

Dataframe of metadata

alpha_w

regularization parameter for weights

net_param

elastic net parameter, 1: lasso, 0: ridge, default: 1

trt_unit

Unit that is treated (target for regression), default: 0

Value

outcomes with additional synthetic control added and weights


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