Dear all, For a number of individuals, I have measured several behavioral traits in the wild. Those traits (e.g. home range) can be estimated on different temporal scales, for example daily, weekly or monthly. I want to estimate repeatability of those traits, assuming that the daily/weekly/monthly measurements (averages) represent replicates. I have 3 months (90 days) of data for each trait. I have run a MCMCglmm model and extracted the residuals from it using: res=data$trait-predict(model, marginal=NULL) And then run: acf(res) And I found significant autocorrelation in lags 1 and 2. Is there any way to account for this (temporal) autocorrelation in MCMCglmm? Sorry for this pretty basic questions but I haven't found an answer so far. Thanks! David
Is it possible to account for temporal autocorrelation in MCMCglmm?
2 messages · David Villegas Ríos, Jarrod Hadfield
1 day later
Hi David, Sorry - this is not possible in MCMCglmm (yet). Cheers, Jarrod Quoting David Villegas R?os <chirleu at gmail.com> on Wed, 1 Apr 2015 14:34:19 +0200:
Dear all, For a number of individuals, I have measured several behavioral traits in the wild. Those traits (e.g. home range) can be estimated on different temporal scales, for example daily, weekly or monthly. I want to estimate repeatability of those traits, assuming that the daily/weekly/monthly measurements (averages) represent replicates. I have 3 months (90 days) of data for each trait. I have run a MCMCglmm model and extracted the residuals from it using: res=data$trait-predict(model, marginal=NULL) And then run: acf(res) And I found significant autocorrelation in lags 1 and 2. Is there any way to account for this (temporal) autocorrelation in MCMCglmm? Sorry for this pretty basic questions but I haven't found an answer so far. Thanks! David [[alternative HTML version deleted]]
_______________________________________________ R-sig-mixed-models at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.