mcparam.sample: Sample the MC results using bootstrap sampling.

In JGCRI/ambrosia: An R package for calculating and analyzing food demand that is responsive to changing incomes and prices

Sample the MC results using bootstrap sampling.

Description

Optionally, apply a function to the sampled values.

Usage

mcparam.sample(mc.data, nsamp = 100, func = NULL)

Arguments

mc.data	Data frame of Monte Carlo output
nsamp	Number of samples to draw
func	Optional function to apply to the samples drawn from the MC distribution.

Details

If func is NULL, the return value will be a data frame of sampled parameter values. Otherwise the return value will be a list with the data frame just described in the first element and the output of func in the second.

Value

Data frame or list (see details)

JGCRI/ambrosia documentation built on June 11, 2025, 12:29 a.m.