Comments (2)
Another positive aspect of using a specialized representation will be to remove the need for the internal function glm_drop_level_correction
. This is currently needed to account for unused level dropping in glm and co (see commit 54cac27).
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The problem of covmlc object size is partially addressed in commit 1bec0f1, but while butcher
provide some model reduction, the resulting objects are still quite large in some cases.
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Related Issues (20)
- Support initial="extended" in loglikelihood.covlmc HOT 1
- Improve test coverage
- Handle the empty context consistently
- Report the random seed as an attribute in simulate.*
- Switch to extended likelihood as default likelihood function HOT 1
- Release mixvlmc 0.2.0
- Implements predict.vlmc for the C++ back end
- Add options to control tune_* functions
- Use ellipsis to test varargs proper usage
- Improve draw.* usability
- Refactor SuffixTree.cpp to declare the module elsewhere
- Create a global option for the C++ back end
- Improve automatic C++ representation rebuilding
- Allow COVLMC models to be estimated on multiple time series
- Implement a C++ back end for the multiple time series estimation
- Include more likelihood function variants for model estimated on multiple time series
- Write a new vignette for multiple series support
- Create a discrete time series type as well as a type of collections of those
- Implement integration with knitr (draw.*) HOT 1
- Follow rOpenSci best practices
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