There are two ways to fit marker based genomic models depending onwhether there are more markers than genotypes. Fit the model in the marker space if there are more genotypes than markers.e.g. Yield ~ mu !r Markersif no genotype replication and < 50000 markers Fit […]
Category: Uncategorized
Echidna Build 2.04 Feb 19 2026
Attempted to fix bug in score calc for complicated factor analytic modelsAdd multi-trait incidence counts of traits summary to .res fileFixed bug when path of working folder was more than 70 characters;limit is now 120
Echidna Build 2.03 Oct 29 2025
Fixes recent bug in processing VPREDICT units
Echidna Build 2.02 Oct 24 2025
The Mac ARM 64 build is now built with the OPENBLAS library, comparable with the INTEL ONEAPI MKL library used for the other platforms. Added !DF f and !YSS s qualifiers (as in ASReml) which allow adjustment of the residual degrees of freedom (by f) […]
Echidna Build 2.01 Sep 18 2025
For weighted analyses, whether (DH)GL(M)M or not, the base assumption isthat the weights are the inverse of the true variance, and therefore do notrequire a scaling (heterogenity/dispersion) factor . In line with ASReml 4.3,a scaling factor can be requested now via the RESIDUAL statement.(It was […]
Echidna Build 2.00 Jul 29 2025
Bug parsing at(Trait 1).(Year lin(Cal) ) fixedBug processing Selection !A 454 !L filteredped.csv !LSKIP 1 Record !A 1891 !L weatherped.csv !LSKIP 1 resolved
Echidna Build 1.99 Jul 15 2025
Fix bug recognising content of .grr file (marker data)
Echidna Build 1.98 July 10, 2025
Fix bug parsing at(Trait,1).(Year, sin(Month,12), cos(Month,12)) !R +Fix bugs fitting DHGLM models: milk dev(milk) ~ Trait.DIM !r diag(Trait).spl(DIM)Fix bug fitting diag(T).id(5)Fix bugs in GAMMA dispersion modellingImprove DHGLM model fittingAdd !NOGRAPHICS (-n) qualifier (option) to facilitate Batch processing under Unix
Echidna Build 1.97 May 1 2025
Fixed some bugs parsing complex models
Echidna Build 1.96 Jan 29, 2025
Fixed bug affecting large dense models; miss allocation of workspace used when forming sparse C inverse resulted in miscalculation of Scores and hence lack of proper convergence.
