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Hello,
I've been problems replicating your example. The output looks different:
> (r2nsj = r2beta(mer1, method = 'nsj', partial = TRUE))
gives me:
Effect Rsq upper.CL lower.CL 1 Model 0.410 0.551 0.305 4 bs(age)3 0.231 0.369 0.111 5 SexFemale 0.032 0.126 0.000 3 bs(age)2 0.024 0.111 0.000 8 bs(age)3:SexFemale 0.016 0.095 0.000 7 bs(age)2:SexFemale 0.002 0.056 0.000 6 bs(age)1:SexFemale 0.001 0.051 0.000 2 bs(age)1 0.000 0.046 0.000
but not the desired:
#> Effect Rsq upper.CL lower.CL #> 1 Model 0.410 0.551 0.305 #> 2 bs(age) 0.263 0.409 0.149 #> 3 Sex 0.032 0.126 0.000 #> 4 bs(age):Sex 0.024 0.134 0.005
I think this might be related to the R version (4.0.3) I'm using right now, because it used to work before updating.
Let me know if you need any further information!
Thanks in advance for your help!
Best, Micha
The text was updated successfully, but these errors were encountered:
Hello! Thank you for your question. I think you will get the same results as the readme if you download the developer version of the r2glmm package.
Sorry, something went wrong.
i.e., try running remotes::install_github('bcjaeger/r2glmm') in a fresh R session.
remotes::install_github('bcjaeger/r2glmm')
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Hello,
I've been problems replicating your example. The output looks different:
gives me:
but not the desired:
I think this might be related to the R version (4.0.3) I'm using right now, because it used to work before updating.
Let me know if you need any further information!
Thanks in advance for your help!
Best,
Micha
The text was updated successfully, but these errors were encountered: