vdpData: Another simulated multilevel multi-subject time series of a...

vdpDataR Documentation

Another simulated multilevel multi-subject time series of a Van der Pol Oscillator


A dataset simulated using methods described in the reference below.

Reference: Chow, S., Lu, Z., Sherwood, A., and Zhu, H. (2016). Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation-Maximization (SAEM) Algorithm. Psychometrika, 81(1), 102-134.




A data frame with 10,000 rows and 11 variables


The variables are as follows:

  • batch. Batch number from simulation

  • kk. Unclear

  • trueInit. True initial condition

  • id. Person ID

  • time. Continuous time of measurement

  • y1. Observed score 1

  • y2. Observed score 2

  • y3. Observed score 3

  • u1. Covariate 1

  • u2. Covariate 2

  • trueb. True value of person-specific random effect

dynr documentation built on Oct. 17, 2022, 9:06 a.m.