Category: Uncategorized

Fixed some bugs parsing complex models

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.

The initial build of Echidna (1.94) for Apple Silicon Mac computers ran 5-10 times slower than on machines with INTEL chips (compiled using the Intel compiler using the Intel MKL library). I have written my own version of the BLAS/LAPACK DGEMM subroutine based on the […]

I wish all who read this grace and peace through Jesus Christ in 2025. Apple Silcon build without graphics included in this release The Mac download package (1.94 and later) contains two Echidna executable programs./Applications/Echidna.app/Contents/MacOS/echidna   is for CPUTYPE  x86_64 (Intel) hardware/Applications/Echidna.app/Contents/MacOS/echidna_AS   is for CPUTYPE  arm64 […]

Some bug fixes related to VCC directive, TrimGRM and reading a marker (.grr) file to form a GRM matrix. Thanks to those you try options and send feedback. I have acquired an Apple Silcon M4 Mac PC to develop a build of Echidna for that […]

Fix bug in setting grid size for spatial layout of field when first ‘row’ is short.

Mainly bug fixes across 20 source files.including parsing A.B.zero and(A.B,0.5)writing and reading .sgiv filesprocessing env.mrm12(id) Thanks to users reporting their issues.

!NOZERO stops Echidna fixing small variance components in a diag() structure to 0.0 Updated processing of and() functions. Remember: If something is not working for you, let me know at support@arthur

!CONTINUE will read .msv file if no .esv file available. Fix bugs pre-processing !r !{ at(Trait,1).SLS0.(Dam Sire) at(Trait,2).(ID Dam) Zero.ID xfa1(4).ID !} GRM file line qualifier !UDU (!MT or !TM Transform Model) implemented at(Exp).grm(Geno|Fld) model term expansion extended to allow 3 instances,and to allow an […]

at(Exp).grm(Geno|Fld) expands to a set of model terms, 1 for each Experimentwith a reduced GRM file containing just those Genotypes present in the relevant field;where Exp is nested in Fld. residual sat(Exp !VPGROUP Fld).ar1(Row).ar1(Column) applies constrants so that the variance parameters estimated are the same […]