breedR v0.12

• 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.
• 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.
• New 'generic' model component allows passing a list of arbitrary incidence and covariance/precision matrices
• Optimized splines model. It runs about 5x faster.

Full release

Several bugfixes and documentation.
Refactoring of results parser. Interface ranef() for random effects.
Interface model.matrix() to get incidence matrices.
Intergrated vignette into the package.
Full release including binary dependencies.

Full release

Several bugfixes and documentation
Full release including binary dependencies.

Full release.

Models under beta-testing: spatial, competition.
Functionality under beta-testing: remote computation, simulation of datasets.
Full release including binary dependencies.

Full release.

Spatial models under beta-testing.
Full release inlcuding binary dependencies.