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Contains functions for estimating the STARTS model of Kenny and Zautra (1995, 2001) <DOI:10.1037/0022-006X.63.1.52>, <DOI:10.1037/10409-008>. Penalized maximum likelihood estimation and Markov Chain Monte Carlo estimation are also provided, see Luedtke, Robitzsch and Wagner (2018) <DOI:10.1037/met0000155>.

Author

Alexander Robitzsch [aut,cre] (<https://orcid.org/0000-0002-8226-3132>), Oliver Luedtke [aut] (<https://orcid.org/0000-0001-9744-3059>)

Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

References

Kenny, D. A., & Zautra, A. (1995). The trait-state-error model for multiwave data. Journal of Consulting and Clinical Psychology, 63, 52-59. doi:10.1037/0022-006X.63.1.52

Kenny, D. A., & Zautra, A. (2001). Trait-state models for longitudinal data. In L. M. Collins & A. G. Sayer (Eds.), New methods for the analysis of change (pp. 243-263). Washington, DC, US: American Psychological Association. doi:10.1037/10409-008

Luedtke, O., Robitzsch, A., & Wagner, J. (2018). More stable estimation of the STARTS model: A Bayesian approach using Markov Chain Monte Carlo techniques. Psychological Methods, 23(3), 570-593. doi:10.1037/met0000155