[R-sig-ME] NCMCglmm technical help

Walid Crampton-Mawass w@||dm@w@@@10 @end|ng |rom gm@||@com
Tue Jun 23 02:57:13 CEST 2020


To solve the package installation problem, you should have R devtools
installed on your machine and this will allow you to install packages
archived by CRAN (there is a more detailed answer on how to achieve this on
the stack exchange forum if you look it up). I suggest to you as well to
install the archived package pedantics as well which has solutions for
fixing pedigrees.

Concerning the bivariate animal model you want to model, I recall there
being an example of both a bivariate model and one with repeated records in
the MCMCglmm tutorial pdf file for constructing animal models - it's
available online.

Good luck,


On Fri., Jun. 19, 2020, 10:10 a.m. Wondessen Ayalew, <
wondessenayalew9 using gmail.com> wrote:

> Dear Professor Jarrod Hadfield,
> It is my absolute hope that you are doing well in this pandemic. Thank you
> for taking your precious time to read my email. My name is Wondessen
> Ayalew. In the meantime, I am M.Sc. student at Bahir Dar University,
> Ethiopia, and trying to fit a bivariate animal model based on repeated
> records using the MCMCglmm package of R. However, I have faced technical
> error to ordering the pedigree and writing code for bivariate repeatability
> model. So far, even though both MasterBayes and pedantics are removed from
> CRAN, I tried to install the latest archive of both packages but both of
> them were not integrated to my R v.3.6.1. Software.
> If you have some time, please help me with how to fix the problem and where
> to get the codes for bivariate repeatability animal models.
> I know you have a very busy schedule, thank you in advance for your
> professional assistance! I look forward to your positive response.
> For your convenience, I have attached a pedigree, full data, and the error
> messages below.
> Sincerely,
> Wondessen Ayalew
> Animal Breeding and Genetics MSc Student
> _______________________________________________
> R-sig-mixed-models using r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models

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