This page tries to keep track of what has been changed in WOMBAT and when — including `bug' fixes.
Some minor bug fixes. Added option to store *.gin matrix in core.
Fixed bug affecting runs using the –snap option when multiple SNPs were fitted simultaneously.
Added: trial versions compiled for Windows (both 32 and 64 bit) using the gfortran cross-compiler on a Linux host. These have all the features of the Linux versions, but had very little testing - beware!
Added: Example 17 to illustrate approximation of sampling variances for complicated functions of covariances via sampling from a multivariate normal distribution.
Linux versions updated: Changed sparse matrix computations to take advantage of “supernodes” - this speeds up computations but can require quite a bit more memory. Run time option −−old is provided to switch back to the previous scheme.
The speed up achieved varies greatly with the “quality” of the BLAS and LAPACK routines used - best for the I7 (MKL library) and LF64 (ATLAS library) versions, not quite so good for the PATH64/32 or LF95 versions which are compiled on older machines with only the reference libraries.
Added run option −−dense; aimed at analyses with a dense, user-defined covariance matrix among random effects (e.g. genomic relationship matrix); not everything works yet; dense calculations rely on LAPACK and BLAS libraries. also new: 64bit version compiled for I7 processor using Intel ifort compiler and MKL library.
Downloads updated. New: facility to fit “social” genetic effects & Example 16 to illustrate it.
Berenice H. reported that WOMBAT scrambled the starting values supplied for certain types of random regression models. Fixed.
Update downloads. New option −−pool: allows pooling of estimates from part analyses using penalized maximum likelihood; illustrated in Example 15.
Updated Linux versions and examples. New: Example13 & Example14, option TSELECT for RPTCOV, −−nonly for analysis of first n records only, −−nolsq to skip LSQ analysis for fixed effects and −−snap for GWAS analysis.
Added section on fitting imprinting effects to Specialized analyses; added example4/D to illustrate.
Revamped options for penalized estimation; updated manual, Linux versions & example5/D.
Updated linux versions: option MRR enabled (full rank analyses only) – beware, has only been tested for a simple bivariate case. New special option RPTCOV & new option ONE for random regression basis functions.
−−redped switches on pedigree reduction for sire model;
IDE as code for basis functions for random regression models; data subset selection for specified range of values of a covariable.
John K. noted that fitting correlated random effects did not work for effects with the GIN option; fixed.
Changed rules for sire model analyses: require “subject” identifier in data & model part of parameter file.
Romain D. reported a problem for an analysis with many dependencies among fixed effects – increased limit and improved fault trapping for exceeding the maximum number.
Added checks for sorting of data file; new SPECIAL option CLONES. Analyses with very low (<10% but >0%) proportions of repeated records for a trait are no longer accepted.
Changes made last year caused WOMBAT to no longer recognise the
DIAG option for random effect covariance matrices; fixed. Option
––choozhz was only recognised for animal model analyses; now enabled for sire models as well.
Christie I. reported that the COVZER option did not work properly for multivariate analyses with numbers of covariates differing between traits. Klint G. found that the Windows versions had problems if data and pedigree file were the same. Both fixed.
Added facility to read in “pre-defined” inbreeding coefficients from the pedigree file.
Fixed bug which affected convergence of reduced rank analyses under a sire model with known maternal grand sires.
Fixed bug which caused WOMBAT to ignore some of the effects chosen to be set to zero through the
ZEROUT directive, and improved `automatic' identification of dependencies among fixed effects somewhat.
WOMBAT now stops if it finds repeated records for a trait for less than 20% of individuals, under the assumption that this is due to careless data preparation. For the rare cases were this is a planned scenario, this can be overridden by a new 'special' option (see section 4.8 of the manual). In addition, WOMBAT now checks for duplicate identities in the pedigree file and stops if these give different parental identities.
When writing out solutions for random effects for multivariate analyses using the “PC” option, WOMBAT now produces additional files with corresponding solutions transformed `back' to the original scale.
WOMBAT now checks for values of zero for covariables fitted. If the data contains such values, it expects a 'special' option (see section 4.8 of the manual) telling it whether to ignore such records or treat them as valid values for the covariable.
Added facilities to a) fix selected covariance matrices at their `input' values, b) replace the “1” in design matrices (standard uni- and multivariate analyses only) by a value (weight) obtained from the data file.
Warren S. pointed out that WOMBAT would not allow correlated random effects in conjunction with a general relationship matrix. Changed - WOMBAT now allows both NRM and GIN options for such effects.
−−mmeout — this is like
−−solvit but writes out the complete mixed model equations to file,
including solutions and mapping of effects fitted to equation numbers. This is the option for folks who want to calculate linear contrasts, F-ratios etc. for fixed effects.
Martin L. reported that WOMBAT would complain about an animal occurring as sire and dam for a sire model when a bull occurred as sire and MGS. Fixed.
New run option:
−−solvit provides a BLUP analysis solving the mixed model equations iteratively.
Pia B. reported that WOMBAT had trouble coping with blank lines in the pedigree file. Fixed.
Added option for `stand-alone' matrix inversion.
Have changed (made faster) computation of average information matrix in reduced rank analyses - Cholesky factor of numerator relationship matrix no longer required or written out (Files
David H. reported that the Windows versions failed for multivariate, reduced rank analyses while the Linux versions did not. This turned out to be due to a minor bug in the g95 compiler. Both compiler and Windows versions have been fixed.
New features have been added :