Comments (1)
I am pretty sure that I have tested these lines for this very matter and my conclusion was different at that point. However, I fully comprehend that my conclusion could have been erroneous or something have changed with the involved packages. It seems absolutely reasonable to rework this piece of code with solve()
from Matrix
package, but we shall ensure that the proper variant among the implemented variety is used. Namely, the one that is designed to deal with triangular sparse matrices as the first argument. If you can draft a proper replacement, I would gladly push it to the master quickly.
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Related Issues (20)
- HSMC usage to infer microbial communities? [discussion] HOT 1
- Spatial random variable with 9,738 coordinates causes R to crash HOT 2
- Interpretation of model coefficients in a multivariate poisson GLM with spatial random effect
- incorrect number of dimensions HOT 3
- Can not predict at the same coordinates used to train the model
- Missing help for `importPosteriorFromHPC` function
- Error in cross validation: missing value where TRUE/FALSE needed
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- Unexpected trace plots for alpha parameters of a GPP model HOT 4
- Error in `importPosteriorFromHPC` for GPP/Hmsc-hpc models with `alignPost = TRUE` HOT 1
- Spatial Model running extremely slow HOT 6
- Error while converting Hmsc model object to JSON: `Error in rcpp_to_json(x, unbox, digits, numeric_dates, factors_as_string, : negative length vectors are not allowed` HOT 3
- im getting this error in running the Uhlig code
- Question about making predictions when using a hurdle approach
- Inconsistency in spatial model variance partitioning
- Issue with constructGradient() Function in HMSC Package HOT 1
- The use of `setPriors` in `computePredictedValues` function HOT 1
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