extend OptSummary to include more information and to convey settings for the algorithm add show method for OptSummary clean up logic on last evaluation of objective to ensure the structure is consistent with xmin clean up code in fit! methods add Ac_mul_B methods for ScalarReTerm and VectorReTerm combinations
The bootstrap function now returns a data frame with columns corresponding to individual parameters
Using fit!(glmm(...), nAGQ = 0) provides a faster optimization algorithm at the expense of some sma...
Reduce memory allocation and garbage collection in models with multiple vector-valued random effects...
extend OptSummary to include more information and to convey settings for the algorithm add show meth...
Add REML estimation criterion for LinearMixedModel through optional argument to fit! Update doc
Deprecate lmm and glmm constructor functions in favor of explicit LinearMixedModel and GeneralizedLi...
Add some missing methods for mul! Fix .travis.yml re code coverage and documentation Adapt to Docume...
Add a method for αβAc_mul_B! needed when evaluating ranef on a model with nested, vector-valued rand...
add and document adaptive Gauss-Hermite quadrature for evaluating the deviance of a GLMM add Compat ...
Use BlockArrays types for the A and L members of LinearMixedModel Create ScalarFactorReTerm and Vect...
In the fit! method for LinearMixedModel objects the parameters were initialized to optsum.final not ...
Add missing methods detected in #152 and #153 Documentation cleanup from @Nosferica
Allocation profiling showed that two downdate! methods were being slowed down because the compiler h...
One of the methods for mulαβ! did not get the argument order change when the others did, as pointed ...
Reweighting a VectorFactorReTerm was very slow because of a fallback to generic_matmul for a Diagona...
The bootstrap function now returns a data frame with columns corresponding to individual parameters
Using fit!(glmm(...), nAGQ = 0) provides a faster optimization algorithm at the expense of some sma...
Reduce memory allocation and garbage collection in models with multiple vector-valued random effects...
extend OptSummary to include more information and to convey settings for the algorithm add show meth...
Add REML estimation criterion for LinearMixedModel through optional argument to fit! Update doc
Deprecate lmm and glmm constructor functions in favor of explicit LinearMixedModel and GeneralizedLi...
Add some missing methods for mul! Fix .travis.yml re code coverage and documentation Adapt to Docume...
Add a method for αβAc_mul_B! needed when evaluating ranef on a model with nested, vector-valued rand...
add and document adaptive Gauss-Hermite quadrature for evaluating the deviance of a GLMM add Compat ...
Use BlockArrays types for the A and L members of LinearMixedModel Create ScalarFactorReTerm and Vect...
In the fit! method for LinearMixedModel objects the parameters were initialized to optsum.final not ...
Add missing methods detected in #152 and #153 Documentation cleanup from @Nosferica
Allocation profiling showed that two downdate! methods were being slowed down because the compiler h...
One of the methods for mulαβ! did not get the argument order change when the others did, as pointed ...
Reweighting a VectorFactorReTerm was very slow because of a fallback to generic_matmul for a Diagona...
The bootstrap function now returns a data frame with columns corresponding to individual parameters
Using fit!(glmm(...), nAGQ = 0) provides a faster optimization algorithm at the expense of some sma...
Reduce memory allocation and garbage collection in models with multiple vector-valued random effects...
DOI
Add to ORKG