Continuous time modelling with individually varying time intervals for oscillating and non-oscillating processes
Article first published online: 15 MAR 2012
© 2012 The British Psychological Society
British Journal of Mathematical and Statistical Psychology
Volume 66, Issue 1, pages 103–126, February 2013
How to Cite
Voelkle, M. C. and Oud, J. H. L. (2013), Continuous time modelling with individually varying time intervals for oscillating and non-oscillating processes. British Journal of Mathematical and Statistical Psychology, 66: 103–126. doi: 10.1111/j.2044-8317.2012.02043.x
- Issue published online: 17 JAN 2013
- Article first published online: 15 MAR 2012
- Received 15 June 2011; revised version received 14 January 2011
1) The CT-SEM script. An R/OpenMx based program for estimating oscillating and nonoscillating processes in continuous time.
2) Two examples with individually varying time intervals: One example is a bivariate (coupled) nonoscillating process and one a univariate oscillating process.
Both examples consist of a datafile (.dat) and the CT-SEM input file (.R)
The actual CT-SEM script needs to be saved in the same folder as the input file. Usually, there is NO need to open or modify the CT-SEM.R script. The model is completely specified in the input file.
|bmsp2043_sm_1_data_nonoscillating_xy.dat||85K||Supporting info item|
|bmsp2043_sm_1_input_nonoscillating.R||4K||Supporting info item|
|bmsp2043_sm_2_data_oscillating_x.dat||50K||Supporting info item|
|bmsp2043_sm_2_input_oscillating.R||4K||Supporting info item|
|bmsp2043_sm_CT_SEM.R||12K||Supporting info item|
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