Comments (3)
I've had a quick look at the implementations for Gamma conditional samplers. Indeed, it seems there is at least one place, where at some change in the past the sampler implicitly started assuming that the mGamma
is a vector of zeros. I will have a more thoughtful examination of this bug and come back once I fix it (in next couple days).
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Hello! Thanks again for the extended feedback and the MWE that you've posted.
I have now addressed all the issues that you've raised and fixed the associated bugs in the codes. The MWE produces no inconsistencies, but if you face some other suspicious behaviour, please let us know.
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Great! Thank you so much, @gtikhonov. I will download the updates and see how it goes. I do not expect to find any inconsistencies outside the MWE, but I'll let you know if I do.
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Related Issues (20)
- Computation time: is there way to reduce running time, e.g., GPU? HOT 6
- MCMC convergence for spatial random effects HOT 7
- Strategy for simplifying data environment to improve processing time & overall likelihood of model fitting HOT 1
- Error with computePredictedValues function due to R/Rstudio settings HOT 3
- speeding up cross-validation HOT 1
- setting mcmcStep for conditional cross-validation HOT 4
- Spatial projection : full of NAs
- Conditional prediction error: Matrices must have same dimensions in iWs + tmp1 HOT 11
- Error in predArray HOT 6
- Chains in model cross validation not running parallel HOT 1
- Code quit working HOT 5
- plotBeta with ggplot2
- Error in computeDataParameters(hM) HOT 7
- Error in computePredictedValues() HOT 2
- More aggressive parallelization in computePredictedValues
- offset HOT 5
- How do you get the posterior standard deviation for each species?
- predict over millions of sites (non-spatially explicit); out of memory
- All 0's in Alpha posterior? HOT 6
- Interaction term interpretation and prediction HOT 7
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