update.alpha.coef: update.alpha.coef

In matthiasspeidel/hmi: Hierarchical Multiple Imputation

Description

The function updates the cluster specific random effects by drawing from a multivariate normal distribution (with a unique distribution for every cluster).

The function updates the cluster specific random effects by drawing from a multivariate normal distribution (with a unique distribution for every cluster).

Usage

## S3 method for class 'alpha.coef'
update(Z_obs, y_obs, X_obs, beta.new, clID_obs,
  sigma.y.new, sigma.alpha.new.inv)

## S3 method for class 'alpha.coef'
update(Z_obs, y_obs, X_obs, beta.new, clID_obs,
  sigma.y.new, sigma.alpha.new.inv)

Arguments

Z_obs	The random effects data matrix of those observations with an observed value of y.
y_obs	The target variable of those observations with an observed value of y.
X_obs	The fixed effects data matrix of those observations with an observed value of y.
beta.new	The vector of fixed effects parameters.
clID_obs	The cluster ID vector of those observations with an observed value of y.
sigma.y.new	The numeric residual variance.
sigma.alpha.new.inv	The inverse random effects covariance matrix.
Z_obs	The random effects data matrix of those observations with an observed value of y.
y_obs	The target variable of those observations with an observed value of y.
X_obs	The fixed effects data matrix of those observations with an observed value of y.
beta.new	The vector of fixed effects parameters.
clID_obs	The cluster ID vector of those observations with an observed value of y.
sigma.y.new	The numeric residual variance.
sigma.alpha.new.inv	The inverse random effects covariance matrix.

Value

It returns cluster specific random effects.

It returns cluster specific random effects.

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