adjust_ErrorSD: Nonparametric Adjustment of Residual Variance

Description Usage Arguments Value

View source: R/adjust_ErrorSD.R

Description

This is a bootstrap adjustment of the residual variance Used only internally as preparation for bootstrap-MSEs

Usage

1
adjust_ErrorSD(Y, X, mod, B = 100, survey_weights = NULL)

Arguments

Y

metric input target variable

X

variable of predictive covariates

mod

model trained by MERFranger

B

number of bootstrap replications. default to B= 100

survey_weights

possibility to include weights. default is NULL

Value

returns an numeric integer of the corrected SD


krennpa/SAEforestOld documentation built on Dec. 21, 2021, 7:45 a.m.