Comments (3)
The tutorial you link is just the README from this repository that JuliaHub scraped and it doesn't appear to be a particularly recent scraping -- you can simplify the creation on the tuple a bit:
julia> m_machines = (m, machines);
That said, the example using the Tuple([m, machines])
runs fine on Julia 1.6 with the current JellyMe4 release (0.2.6), current MixedModels release (4.4.1), current RCall release (0.13.12) and R (4.1.2), so I'm wondering if you somehow have an older release of one of those pieces of software. I can see from the stacktracke that you have R 4.1, so that's fine. Can you tell me which versions of MixedModels, RCall and JellyMe4 you're using? You can see the package versions by using Pkg.status()
, e.g.:
julia> using Pkg; Pkg.status()
Status `/tmp/jl_4MPCqg/Project.toml`
[19ac8677] JellyMe4 v0.2.6
[ff71e718] MixedModels v4.4.1
[6f49c342] RCall v0.13.12
julia> VERSION # Julia version; also displayed in the startup banner
v"1.6.2"
from jellyme4.jl.
Thanks very much - It looks like I'm using an old MixedModels release so will try updating that
[6e4b80f9] BenchmarkTools v0.5.0
[336ed68f] CSV v0.8.2
[a93c6f00] DataFrames v0.21.8
[38e38edf] GLM v1.3.11
[19ac8677] JellyMe4 v0.2.1
[ff71e718] MixedModels v3.1.1
[6f49c342] RCall v0.13.10
[df47a6cb] RData v0.7.3
[2913bbd2] StatsBase v0.33.2
[3eaba693] StatsModels v0.6.15
[f3b207a7] StatsPlots v0.14.17
[fd094767] Suppressor v0.2.0
from jellyme4.jl.
I'm assuming updating MixedModels, so closing. Re-open if necessary.
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Related Issues (20)
- Warn for Tuple{DataFrame, Model}
- Info on deviance / log likelihood for GLMM HOT 1
- support fulldummy and dummy
- support `zerocorr` and `||`
- Support GLMM with InverseGaussian, Gamma, Gaussian with non-identity link
- LMM Regression Weights
- Turn off `check.nobs.vs.nRE` lme4-control parameter HOT 1
- Convert `Symbol` to `String` before moving to R HOT 1
- Document differences in formula syntax, special covariance structures, handling of missing data
- Move away from Travis for CI
- Low Priority Projects
- TagBot trigger issue HOT 46
- contrast coding
- JellyMe4 breaks MixedModels.jl when used through JuliaCall HOT 4
- Problems getting the Satterthwaite or Kenward-Roger p values HOT 2
- rput issue after package updates HOT 4
- support and test against StandardizedPredictors.jl
- Factors containing ":" not supported HOT 2
- install failure HOT 3
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