miss.glm.control: Auxiliary for Controlling Fitting

In misaem: Linear Regression and Logistic Regression with Missing Covariates

Description

Auxiliary function for miss.glm fitting. Typically only used internally by miss.glm.fit.

Usage

miss.glm.control(
  maxruns = 500,
  tol_em = 1e-07,
  nmcmc = 2,
  tau = 1,
  k1 = 50,
  subsets = NA,
  seed = NA,
  print_iter = TRUE,
  var_cal = TRUE,
  ll_obs_cal = TRUE
)

Arguments

maxruns	maximum number of iterations. The default is maxruns = 500.
tol_em	the tolerance to stop SAEM. The default is tol_em = 1e-7.
nmcmc	the MCMC length. The default is nmcmc = 2.
tau	rate τ in the step size (k-k1)^(-τ). The default is tau = 1.
k1	number of first iterations k1 in the step size (k-k1)^(-τ). The default is k1=50.
subsets	Index of selected covariates if any. The default is all the covariates.
seed	an integer as a seed set for the random generator.
print_iter	logical indicating if output should be produced for each iteration.
var_cal	logical indicating if the variance of estimated parameters should be calculated.
ll_obs_cal	logical indicating if the observed log-likelihood should be calculated.

Value

A list with components named as the arguments.

Examples

## For examples see example(miss.glm)

Example output

Warning message:
replacing previous import ‘mice::filter’ by ‘stats::filter’ when loading ‘misaem’ 

misaem documentation built on April 12, 2021, 9:06 a.m.