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NEWS
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* Parse large covariance matrices more robustly from REML logs (#101)
* Store breedR model and REML log in temp dir for recovery (#100)
* More informative error messages on specification of initial variances (#79)
* Bugfixes (#80, #85, #86)
* Improved documentation (Handling pedigrees)
breedR 0.12
===========
* Basic multitrait interface (#30)
* Default values for initial (co)variances are now a function of empirical
(co)variances
* Interface for using **weights** for residual variance (#77)
* Vignette: Heterogeneous variances
breedR 0.11
===========
* Install breedR from package repository avoiding package devtools
* New vignette: Computing Heritability
* Access to inverse Average-Information matrix
* Automatic computation of heritability for genetic models and method 'ai'
* remlf90() interface to PROGSF90 OPTIONS
* Much more exhaustive testing ensures greater stability.
* New datasets Douglas (multi-site) and Larix (repeated measurements)
* Separate R-package from BLUPF90 binaries. Exploit 64bit architectures.
* Several bugfixes. Notably, the empirical variogram computation and memory issues with the AR model.
breedR 0.10
===========
* Full internal refactoring (with few 'visible' changes in the interface)
* `model.matrix()` no longer separates `fixed` and `random` effects.
It returns the same structure as `ranef()` which is more intuitive.
* `vcov()` works now with any of the non-diagonal random effects.
breedR 0.9
==========
* New 'generic' model component allows passing a list of arbitrary incidence and covariance/precision matrices
* Optimized splines model. It runs about 5x faster.
breedR 0.8
==========
* New interface ranef() to access BLUP of random effects
* New interface model.matrix() to get incidence matrices
* Integrated vignettes into the package
breedR 0.7
==========
* Remote computing through ssh
* Convenient scaling of spatial variance components
* Additive genetic competition model
* Permanent environmental competition effect
* Simulation infrastructure
breedR 0.6
==========
* Visualization and diagnostic tools
* Prediction in unobserved locations
breedR 0.5
==========
* Customizable initial variance components
* breedR.option infrastructure
breedR 0.4
==========
* AR1xAR1 spatial model
* Eucalyptus Globulus dataset and demo
breedR 0.3
==========
* Pedigree checking, completing, sorting and recoding
breedR 0.2
==========
* Unstructured Random effects
* Simple simulation of spatially structured effects
* Spatial module following Cappa and Cantet (2007) splines model
breedR 0.1
==========
* Basic wrapper to Mistalz's (AI)REMLF90
* Convenient 'metagene' class to represent and manipulate simulated datasets