update.beta.coef: update.beta.coef

In matthiasspeidel/hmi: Hierarchical Multiple Imputation

Description

The functions updates the fixed effects (imputation) parameters. By drawing them from their normal distribution.

The functions updates the fixed effects (imputation) parameters. By drawing them from their normal distribution.

Usage

## S3 method for class 'beta.coef'
update(Z_obs, alpha.new, b.hat.part1, clID_obs, y_obs,
  sigma.y.new, xtx)

## S3 method for class 'beta.coef'
update(Z_obs, alpha.new, b.hat.part1, clID_obs, y_obs,
  sigma.y.new, xtx)

Arguments

Z_obs	A data.frame with the random effects variables.
alpha.new	A matrix (with the dimension: number of clusters times number of random effect variables) of cluster specific random effects.
b.hat.part1	The (X'X)^-1 X' matrix.
clID_obs	The cluster ID vector of those observations with an observed value of y.
y_obs	The target variable of those observations with an observed value of y.
sigma.y.new	The residual variance (positive numeric).
xtx	The (X'X)^-1 matrix.
Z_obs	A data.frame with the random effects variables.
alpha.new	A matrix (with the dimension: number of clusters times number of random effect variables) of cluster specific random effects.
b.hat.part1	The (X'X)^-1 X' matrix.
clID_obs	The cluster ID vector of those observations with an observed value of y.
y_obs	The target variable of those observations with an observed value of y.
sigma.y.new	The residual variance (positive numeric).
xtx	The (X'X)^-1 matrix.

Value

It returns a vector of new fixed effects parameters.

It returns a vector of new fixed effects parameters.

matthiasspeidel/hmi documentation built on Aug. 18, 2020, 4:37 p.m.