imagine: Combine draw, getweights, and boil

In deepfriar/gilez: Substantive estimates via simulation

Description

This is exported, but don't call it directly.

Usage

imagine(z, m, x, f, y, B, w = 1, g = stats::weighted.mean, ...)

Arguments

z	a (conceptual) row of a data.frame given by pick.
m	a model object.
x	matrix. a data set; a population.
f	function. a boiler.
y	numeric. values of the dependent variable representing success under f.
B	matrix. A set of plausible coefficient vectors generated via consider.
w	numeric. weights with respect to which to take the g function. Default 1.
g	function. the desired one-number summary of the boiled values. Default stats::weighted.mean.
...	other parameters ignored for the moment, but to be implemented.

Value

a data.frame of simulated outcome summary statistics.

deepfriar/gilez documentation built on Dec. 19, 2021, 10:09 p.m.