MSE_SAEforest_agg_SIMPLE: MSE function for MERF with aggregated data

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

Description

MSE function for MERF with aggregated data

Usage

MSE_SAEforest_agg_SIMPLE(
  Y,
  X,
  dName,
  survey_data,
  mod,
  ADJsd,
  Xcensus_agg,
  B = 100,
  popnsize,
  initialRandomEffects = 0,
  ErrorTolerance = 1e-04,
  MaxIterations = 25,
  m_try = 1,
  survey_weigths = NULL,
  seed = 1234
)

Arguments

Y	metric target variable
X	data.frame of covariates
dName	name of group-identifier
survey_data	survey data set
mod	explicit model from SAE_forest_agg
ADJsd	input for adjusted variance
Xcensus_agg	aggregated census level covariates. Note that the first column should include the group identifier
B	number of bootstrap replications
popnsize	known number of population size in specific areas
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
seed	default set 1234

Value

returns a data.set with group-identifier and MSE results

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