final's and variable scope
26 lines of code changed in 1 file:
Fix MixedDistributionLikelihood to work with none constant distributions. Involved changing compund likelihood to accept anothe compund as a component.
54 lines of code changed in 4 files:
add 'final' and such
52 lines of code changed in 1 file:
ongoing work on variable dimentsion skyline
1156 lines of code changed in 19 files:
code cleanup
2 lines of code changed in 1 file:
add radious for better mixing
91 lines of code changed in 1 file:
code cleanup
6 lines of code changed in 1 file:
more comments. check for inside bounds before setting in both cases
50 lines of code changed in 1 file:
comment
4 lines of code changed in 1 file:
replace non-needed check with an assert. more comments
43 lines of code changed in 1 file:
generify and remove dead code
20 lines of code changed in 1 file:
generify
6 lines of code changed in 1 file:
adding example analysis and figure
26 lines of code changed in 1 file:
More bits ported over from 1.4
3297 lines of code changed in 9 files:
Fixed 2 bugs in patristic distances code
37 lines of code changed in 6 files:
newline at end to eliminate gcc warning
1 lines of code changed in 2 files:
generify
13 lines of code changed in 1 file:
minor cleanup
18 lines of code changed in 1 file:
remove unused code
28 lines of code changed in 1 file:
add more tree distance methods
162 lines of code changed in 2 files:
generify
7 lines of code changed in 1 file:
cleanup
14 lines of code changed in 1 file:
generify & simplify
16 lines of code changed in 1 file:
comment & generify
14 lines of code changed in 1 file:
generify
74 lines of code changed in 4 files:
add final modifiers
3 lines of code changed in 1 file:
fix copy/paste of comments
2 lines of code changed in 1 file:
simple factoring and generifying
23 lines of code changed in 1 file:
add final modifier
3 lines of code changed in 1 file:
chain string appends
1 lines of code changed in 1 file:
comment unused code
45 lines of code changed in 1 file:
fix comments
2 lines of code changed in 1 file:
remove unneeded final from main
1 lines of code changed in 1 file:
comments
4 lines of code changed in 2 files:
non ascii in comment
3 lines of code changed in 2 files:
add check for read failure
5 lines of code changed in 1 file:
no perdormace suggestion for a gibbs operator
27 lines of code changed in 1 file:
Okay, I have read through the text and the BEAST paper is definitely ready! Just needs a figure which I will work on right now!
92 lines of code changed in 1 file:
Converted the prior types to an Enum in BEAUti and did a bit of 1.5ifying. It turned out to be a bit more work than I anticipated. BEAUti is a beast ;-)
255 lines of code changed in 7 files:
Integration of Random Local Clock model into BEAUTi, plus a few improvements to TreeModel, SpeciationLikelihood and related classes
590 lines of code changed in 18 files:
Test commit - no change
541 lines of code changed in 1 file:
Made a start on using tracer.
61 lines of code changed in 1 file:
Changed ExponentialMarkovPrior so that it can also produce Gamma markov priors,
to control the variation of population size across groups. Default is shape=1.0
corresponding to an exponential Markov prior.
The Bayesian skyline operator can now also use this prior; as before, with matching
priors a Gibbs sampling step is obtained.
Fixed a small bug in BeastParser.
Generalized the sampling code from the biased Gamma distribution; if G(x;shape,scale,bias)
= x^(shape-1) e^(x/scale) e^(1/(bias*x)), then this distribution is normalizable for
scale>0, bias>0 and all shape parameters (including 0); the sampling code can now handle
all these cases.
99 lines of code changed in 5 files:
Added <generalizedSkylineGibbsOperator> to BeastMain's parser.
Comment added to bayesianskylinegibbsoperator.java.
7 lines of code changed in 2 files:
Minor bugfix
1 lines of code changed in 1 file:
Cleanup of GammaDistribution.java - more straightforward algorithm to sample from a exp-weighted Gamma distribution
590 lines of code changed in 1 file:
Changed the way the Gibbs sampler for the Bayesian skyline works. Instead of
sampling all population parameters at once, they are now sampled one-at-a-time
in one-dimensional Gibbs moves.
The advantage is that the exponential Markov prior can now be efficiently incorporated
- previously this prior would cause very high rejection rates (~99%), because new states
would often have a bad prior likelihood, whereas now the Gibbs move has acceptance
rate 1.
The exponential Markov prior has been updated to also 'run in reverse' if desired,
putting a Jeffrey's prior on the most ancestral Ne rather than the most recent.
The Gibbs sampler can handle both forward and backward exponential Markov priors,
with an without a Jeffrey's prior on the first (last) Ne.
The sampling code for the exponential-weighted Gamma distribution has been updated
and is more efficient.
492 lines of code changed in 3 files:
Fixed a couple of errors due to an incomplete port of fixes from the 1.4 branch.
61 lines of code changed in 2 files:
May 2007 »