data.sim.ibm


A longitudinal data set containing measurements on 500 subjects, each with their own sequence of follow-up time points
collected at irregularly spaced follow-up time points.


datasets

Contains functions to estimate model parameters and filter, smooth and forecast random effects coefficients for mixed models with stationary and non-stationary stochastic processes under multivariate normal and t response distributions, diagnostic checks, bootstrap standard error calculation, etc.

Ozgur Asar

lmenssp

Linear Mixed Effects Models with Non-Stationary Stochastic
Processes

data.sim.ibm function

A data frame with 8462 observations on the following 6 variables.
  <dl> </dl> 

data.sim.ibm: A simulated data set under a mixed model with random intercept, integrated Brownian motion and multivariate normal response distribution

Description

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Examples