SAEforest_agg_wSet: Main function for means of MERF with aggregated data

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

Description

Main function for means of MERF with aggregated data

Usage

SAEforest_agg_wSet(
  Y,
  X,
  dName,
  survey_data,
  Xcensus_agg,
  initialRandomEffects = 0,
  ErrorTolerance = 1e-04,
  MaxIterations = 25,
  m_try = 1,
  survey_weigths = NULL,
  OOsample_obs = 25,
  wSet,
  w_min = 3
)

Arguments

Y	metric target variable
X	data.frame of covariates
dName	name of group-identifier
survey_data	survey data set
Xcensus_agg	aggregated census level covariates. Note that the first column should include the group identifier
initialRandomEffects	default set to 0
ErrorTolerance	default set to 1e-04
MaxIterations	default to 25
m_try	default set to 1
survey_weigths	default set to NULL
wSet	insert columnNames depending on importance from RF
w_min	minimal amount of influence variables to still attempt to calculate a weight

Value

returns object with Mean Predictions, model details and the modified dataset including weights

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