[R-sig-ME] Factor response and explanatory variables
Iker Vaquero Alba
karraspito at yahoo.es
Fri Sep 18 13:14:43 CEST 2015
Thank you very much. I have actually made quite a lot of progress with MCMCglmm, I just need to find some proper priors, "only" that...
I'll post here again when I have much more accurate and focused questions.
Thank you very much again! Iker
__________________________________________________________________
Iker Vaquero-Alba
Visiting Postdoctoral Research Associate
Laboratory of Evolutionary Ecology of Adaptations
Joseph Banks Laboratories
School of Life Sciences
University of Lincoln Brayford Campus, Lincoln
LN6 7DL
United Kingdom
https://eric.exeter.ac.uk/repository/handle/10036/3381
De: David Duffy <David.Duffy at qimrberghofer.edu.au>
Para: Iker Vaquero Alba <karraspito at yahoo.es>
CC: r-sig-mixed-models at r-project.org
Enviado: Viernes 18 de septiembre de 2015 7:04
Asunto: Re: [R-sig-ME] Factor response and explanatory variables
On Fri, 18 Sep 2015, Iker Vaquero Alba wrote:
> The problem is that all my variables are factors
You might consider path analysis/SEM using polychoric correlations,
especially if you have multiple ordinal outcomes of interest. In R,
lavaan, OpenMx, (sem plus polycor).
| David Duffy (MBBS PhD)
| email: David.Duffy at qimrberghofer.edu.au ph: INT+61+7+3362-0217 fax: -0101
| Genetic Epidemiology, QIMR Berghofer Institute of Medical Research
| 300 Herston Rd, Brisbane, Queensland 4006, Australia GPG 4D0B994A
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