variance: Construct variance

In wahani/saeRobustTools: Robust Small Area Estimation

Construct variance

Description

A generic function to construct the different variance components of an object. You may want to use this in conjunction with bootstrap.

Usage

variance(.object, ...)

## S3 method for class 'fitrfh'
variance(.object, ...)

## S3 method for class 'fitrsfh'
variance(.object, ...)

## S3 method for class 'fitrtfh'
variance(.object, ...)

## S3 method for class 'fitrstfh'
variance(.object, ...)

## S3 method for class 'fitrfh'
weights(object, c = 1, ...)

Arguments

.object, object	an object
...	arguments passed to method
c	(numeric) scalar

Examples

data("grapes", package = "sae")
data("grapesprox", package = "sae")

fitRFH <- rfh(
  grapehect ~ area + workdays - 1,
  data = grapes,
  samplingVar = "var"
)

# The variance component of a mixed linear model:
matV <- variance(fitRFH)
# The full variance matrix:
matV$V()

# The sampling error component
matV$Ve()

# the random effects component
matV$Vu()

wahani/saeRobustTools documentation built on March 16, 2024, 11:29 a.m.