Re: [R-sig-eco] Regression when Y has an estimation variance

2019-01-15 Thread Roy Averill-Murray
Thanks, all, for the input and advice. I'm now progressing through the references and tools recommended. Roy [[alternative HTML version deleted]] ___ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r

Re: [R-sig-eco] Regression when Y has an estimation variance

2019-01-14 Thread Viechtbauer, Wolfgang (SP)
Hi Philip, Actually, lme() does allow for this, using "control=list(sigma=1)" (so this constrains the scaling factor to 1). Best, Wolfgang >-Original Message- >From: R-sig-ecology [mailto:r-sig-ecology-boun...@r-project.org] On >Behalf Of Dixon, Philip M [STAT] >Sent: Monday, 14 January

Re: [R-sig-eco] Regression when Y has an estimation variance

2019-01-14 Thread Torsten Hauffe
Bayesian mixed models implemented in MCMCglmm and brms have an argument to specify the variances for meta analysis. I never used them for this task, though. However, the author of brms is psychologist where meta analyses are common. Cheers! On Mon, 14 Jan 2019 at 15:52, Dixon, Philip M [STAT] wr