MERFranger: Main function for unit-level MERF

In krennpa/SAEforestOld: What the Package Does (One Line, Title Case)

Description

This function uses forests from the ranger package combined with lmer from lme4. The function is the base-function for following extensions. Offest is equivalent to previous verisons of subtraction. Advantage of offset is the use of the Likelihood as a whole!

Usage

MERFranger(
  Y,
  X,
  random,
  data,
  initialRandomEffects = 0,
  ErrorTolerance = 1e-04,
  MaxIterations = 25,
  m_try = 1,
  survey_weigths = NULL,
  seed = NULL,
  keep.inbag = FALSE,
  imp = "none"
)

Arguments

Y	metric input value of target variable
X	metric matrix of predictive covariates
random	specification of random effects lmer-style
data	specify sample data
initialRandomEffects	default set to 0
ErrorTolerance	default set to 1e-04
MaxIterations	default to 25
m_try	change the number of trees for split decision. default to 1
survey_weigths	specify survey weights. default to NULL
imp	variable importance passed to ranger

Value

object of class SAEforest

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