Add REML estimation criterion for LinearMixedModel through optional argument to fit! Update doc
One of the methods for mulαβ! did not get the argument order change when the others did, as pointed ...
<p>Output of the best model fitted using REML estimation and standardized variables.</p
Generalized linear mixed model fit by maximum likelihood (laplace approximation) fixed effects (raw ...
extend OptSummary to include more information and to convey settings for the algorithm add show meth...
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 and document adaptive Gauss-Hermite quadrature for evaluating the deviance of a GLMM add Compat ...
Add a method for αβAc_mul_B! needed when evaluating ranef on a model with nested, vector-valued rand...
In the fit! method for LinearMixedModel objects the parameters were initialized to optsum.final not ...
Allocation profiling showed that two downdate! methods were being slowed down because the compiler h...
Add missing methods detected in #152 and #153 Documentation cleanup from @Nosferica
The bootstrap function now returns a data frame with columns corresponding to individual parameters
Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mix...
Reweighting a VectorFactorReTerm was very slow because of a fallback to generic_matmul for a Diagona...
Use BlockArrays types for the A and L members of LinearMixedModel Create ScalarFactorReTerm and Vect...
One of the methods for mulαβ! did not get the argument order change when the others did, as pointed ...
<p>Output of the best model fitted using REML estimation and standardized variables.</p
Generalized linear mixed model fit by maximum likelihood (laplace approximation) fixed effects (raw ...
extend OptSummary to include more information and to convey settings for the algorithm add show meth...
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 and document adaptive Gauss-Hermite quadrature for evaluating the deviance of a GLMM add Compat ...
Add a method for αβAc_mul_B! needed when evaluating ranef on a model with nested, vector-valued rand...
In the fit! method for LinearMixedModel objects the parameters were initialized to optsum.final not ...
Allocation profiling showed that two downdate! methods were being slowed down because the compiler h...
Add missing methods detected in #152 and #153 Documentation cleanup from @Nosferica
The bootstrap function now returns a data frame with columns corresponding to individual parameters
Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mix...
Reweighting a VectorFactorReTerm was very slow because of a fallback to generic_matmul for a Diagona...
Use BlockArrays types for the A and L members of LinearMixedModel Create ScalarFactorReTerm and Vect...
One of the methods for mulαβ! did not get the argument order change when the others did, as pointed ...
<p>Output of the best model fitted using REML estimation and standardized variables.</p
Generalized linear mixed model fit by maximum likelihood (laplace approximation) fixed effects (raw ...