rr.msm.ic: Estimate both the parameter, and the influence curves used...

In amp: Statistical Test for the Multivariate Point Null Hypotheses

Estimate both the parameter, and the influence curves used for estimating the projected risk ratio from a working marginal structural mean model.

Description

The function takes a dataset, and will returns the estimate for the parameter, and or the estimated influence curve at each observation. The first column of obs_data should be the binary outcome of interest.

Usage

rr.msm.ic(obs_data, what = "both", control = NULL)

Arguments

obs_data	the observed data. The first column should be the outcome.
what	the desired return value. Should be one of '"ic"' (influence curve), '"est"' (estimate), or '"both"'.
control	any other control parameters to be passed to the estimator.

Details

Most of this code has been copied and slightly modified from the ltmle package and is copyrighted by Joshua Schwab under the terms of the GPL-2 license.

Obtain an estimator of the probability delta = 1 given w

Value

If 'what' is

- '"est"', then return the estimated parameter.

- '"ic"', then return the estimated IC of the parameter estimate.

- '"both"', then return both the parameter estimate and corresponding estimated IC.

Examples

#not run (make sure to load in SuperLearner if running)
#set.seed(1010)
#fake_dat <- data.frame(y = rbinom(100, size = 1, prob = 0.5),
#                      a = rbinom(100, size =  1, prob = 0.5),
#                       w = matrix(rnorm(500), ncol = 5))
# rr.msm.ic(fake_dat)

amp documentation built on April 6, 2022, 9:06 a.m.