Release Notes: ASReml-R 4.2

Minor releases

4.2.0.355 – 20/01/2025

New option called wvr to return the working variables
Fixed issue where macOS (intel64) could fail when used with latest version of data.table
Fixed issue where in some cases the dense option did not correctly move all the equations to be dense
Fixed issue where some and() terms were ignored when there were multiple and() terms
Fixed issue where setting a large workspace and the option aom=TRUE could cause asreml to fail
Fixed issue where using mbf() with own() could fail
Fixed issue where incorrect predictions were reported when using mbf() along with dev()

4.2.0.332 – 12/06/2024

Build for R4.4
Fixed issue where the error ‘Inconsistent number if levels in and() term’ message could be incorrectly reported
Fixed issue where Cfixed matrix order does not match fixed model coefficients
Fixed issue where PEV could be returned as 0 for rr() models
Fixed an issue where the antedependence model produced different estimates compared to 4.1
Fixed issue log-Normal GLM where the model was producing incorrect estimates
Fixed issue for a case where columns were missing in the design matrix object
Fixed issue where mbf failed when used with own
Fixed an issue related to starting values for inverse GRM matrices

4.2.0.302 – 18/12/2023

Fixed issue where CFixed matrix can be returned too large
Fixed issue where incorrect labels could be displayed for multi-trait models predicting for trait
Fixed issue where some models that contain multiple vm() terms with an interaction could fail to converge
Fixed issue where incorrect labels of variance parameters can occur in some cases where there are multiple interaction terms fitted before a main effect

4.2.0.276 – 31/08/2023

Builds for RedHat 8
Fixed issue where an inconsistent number of levels in and() term error is reported for when some FA models are used within str()

4.2.0.267 – 06/07/2023

Statically link BLAS libraries for macOS arm64 to resolve problems with missing libraries
Inverse gaussian distribution now available for GLM(M)s
An update to bivariate GLMs to allow the second distribution to be non Normal

Initial Release

4.2.0.252 – 07/06/23

Updated on January 20, 2025