update.sigma.y.coef: update.sigma.y.coef

In matthiasspeidel/hmi: Hierarchical Multiple Imputation

Description

The function updates the residual variance parameter by drawing from a chisquared distribution.

The function updates the residual variance parameter by drawing from a chisquared distribution.

Usage

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

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

Arguments

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.
Z_obs	The random effects data matrix of those observations with an observed value of y.
alpha.new	The matrix of cluster specific random effects.
clID_obs	The cluster ID vector of those observations with an observed value of y.
n.obs	The number of individuals with an observed 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.
Z_obs	The random effects data matrix of those observations with an observed value of y.
alpha.new	The matrix of cluster specific random effects.
clID_obs	The cluster ID vector of those observations with an observed value of y.
n.obs	The number of individuals with an observed y.

Value

The numeric residual variance.

The numeric residual variance.

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