otherCausal: Popular Causal Effect estimation methods

In causalGel: Causal Inference using Generalized Empirical Likelihood Methods

Description

This documentation file presents a collection of popular methods used to estimate the average causal effect, the causal effect on the treated and the causal effect on the non-treated.

Usage

matching(form,  balm, data, type=c("ACE","ACT","ACC"), M=4,
         adjust=FALSE, matchPS=FALSE, psForm=NULL,
         bcForm=NULL)

LLmatching(form, psForm, data, type=c("ACE","ACT","ACC"),
           kern=c("Gaussian","Epanechnikov"),tol=1e-4,
           h=NULL, from=.00001, to=5, ngrid=10, maxit=100,
           hMethod=c("Brent","Grid"))

ipw(form, psForm, data, type=c("ACE","ACT","ACC"),
    normalized=FALSE, ...)

Arguments

form	A formula that links the outcome variable to the treatment indicator. For the moment, only one treatment group is allowed.
balm	A formula or a matrix with balancing covariates to be matched.
data	A data.frame or a matrix with column names.
type	The type of causal effect to compute. ACE stands for average causal effect, ACT for causal effect on the treated and ACC for causal effect on the control or non-treated.
M	The minimum number of matches
adjust	Should we apply a bias correction to the estimate.
matchPS	Should we match the propensity scores instead of the covariates.
psForm	It is the formula argument passed to glm to estimate the propensity scores by a logistic regression.
bcForm	A formula that represents the right hand side in the regression used for the bias correction.
kern	The type of kernel to use in the local linear regression method.
tol	The tolerance level for the stopping rule used to compute the optimal bandwidth.
h	A fixed bandwidth. By default, the optimal bandwidth is found by minimizing a cross-validation.
from	The lower bound for the search of the optimal bandwidth.
to	The upper bound for the search of the optimal bandwidth.
ngrid	The number of grid points if the optimal bandwidth is obtained by grid search.
maxit	The maximum number of iterations for the minimization of the cross-validation.
hMethod	The method used to find the optimal bandwidth.
normalized	Should the weights be normalized. If set to GPE, the GPE method is used.
...	Additional arguments to pass to optim when the GPE method is used.

Value

All methods return an object of classes "causalfit".

Examples

data(nsw)

balm <- ~age+ed+black+hisp:married+nodeg+re75+I(re75^2)
g <- re78~treat
ps <- treat~age+ed+black+hisp:married+nodeg+re75+I(re75^2)
           
fit1 <- matching(g, balm, nsw, "ACE", adjust=TRUE)
fit1

fit2 <- LLmatching(g, ps, nsw, "ACE")
fit2

fit3 <- ipw(g, ps, nsw, "ACE", normalized=TRUE)
fit3

causalGel documentation built on Feb. 10, 2021, 3:01 a.m.