What's new in Structure
The 2.3 release (April 2009) introduces new models for improving
structure inference for data sets where (1) the data are not
informative enough for the usual structure models to provide
accurate inference, but (2) the sampling locations are correlated with
population membership. In this situation, by making explicit use of
sampling location information, we give structure a boost,
often allowing much improved performance (Hubisz et al., 2009). We
hope to release further improvements in the coming months.
Release Note for Structure
The 2.2 release (April 2007) allows the use of dominant markers such
as AFLPs (commonly used in non-model organisms) and can accommodate
null alleles and other data ambiguities (Falush et al 2007). There
are a few bug fixes including fixing a problem that occurred
occasionally on Windows machines, causing structure to crash at
seemingly arbitrary values of K. We have tidied up some aspects of
the front end and C kernel. We now print out an average pairwise
nucleotide distance within and between clusters, instead of the
Kullback-Leibler distance which was less interpretable and less
numerically stable. The new "net nucleotide distance" will facilitate
drawing trees to represent the distances among clusters (see
eg. Falush et al 2003 [Science]). The output format for the linkage
model has been changed. We hope to release further improvements in
the coming months.
Release Note for V2.2.2
The 2.2.2 release is a minor release with a few bugs in previous release fixed.
An occasional numerical underflow in MCMC runs fixed. When this bug is triggered, the likelihood value is mistakenly displayed as "-1.$".
A bug in dominant marker and null allele model fixed, the bug is trigged as user uses code "-1" in data file.
A window batch program is added to windows frontend package, users could customize this batch script (edit in text editors) to start Java virtual machine when the original program fails to create virtual machine due to memory allocation problem.
Release Note for V2.2.3
The 2.2.3 release fixes a bug that caused numerical problems for some
data sets when lambda was very small (<<1). The problem was introduced first
We have also added the option to set the random number seed manually, thereby
giving users the ability to repeat runs.