MegaLMM
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deruncie
R package for fitting high-dimensional multivariate linear mixed effect models
Hi, I found my model hasn’t really converged (18.5 K rounds). So I would like to extend the chain to 50K rounds. And my program was stopped already. I found...
Dear, I found most of the posterior Sample parameters unclear when I used MegaLMM. All the parameters are: ``` #> [1] "Lambda" "U_F" "F" "delta" "tot_F_prec" #> [6] "F_h2" "tot_Eta_prec"...
Hi, I got a warning (please check below) when I run the "setup_model_MegaLMM function". ```` "Message d'avis : as(, "lgTMatrix") is deprecated since Matrix 1.5-0; do as(as(as(., "lMatrix"), "generalMatrix"), "TsparseMatrix")...
Hi Debiel E. Runcie, My model consists of three random effects. Does your algorithm support more randoms effects? According to my check, only two random effects, genetic and residual, can...
Following up to the ASA-CSSA-SSSA symposium discussion, would preparing a PR for building a [pkgdown](https://pkgdown.r-lib.org/articles/pkgdown.html) site, be useful? I can give this a shot.
``` R> MegaLMM_state = setup_model_MegaLMM( + Y = Y_train, + formula = ~ Population + (1|Line), + data = sample_data, + relmat = list(Line = K), + run_parameters=run_parameters, + run_ID...
Hi, I want to say a big thanks for putting in the effort of developing this R package. I quite like the approach you have taken to fit the multivariate...
Also a follow up question. If I understand the methodology correctly, the multivariate LMM in MegaLMM is a reparametrization of the standard multivariate LMM when the number of factors (k)...