NEWS

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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