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java.lang.Objectpal.statistics.ModelSupport
public class ModelSupport
Computes Akaike weights and expected Akaike weights (relative evidence, expected relative evidence) for a set of models and computes corresponding confidence sets
Field Summary | |
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double[] |
deltaL
log-likelihood differences to the best tree |
int[] |
likelihoodOrder
likelhood order of the tree hypotheses |
int |
numBootstraps
number of bootstrap replicates |
double[] |
posterior
posterior probabilities for each hypothesis |
double[] |
support
support in each hypothesis |
int[] |
supportOrder
support order of the tree hypotheses |
Constructor Summary | |
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ModelSupport()
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Method Summary | |
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void |
compare(double[][] sLogL,
int numBoot)
Determine posterior probabilties and support values for each hypothesis and store results in public arrays posterior, support etc which will automatically be created by this procedure. |
void |
compare(double[][] pLogL,
int[] alias,
int numBoot)
Determine posterior probabilties and support values for each hypothesis and store results in public arrays posterior, support etc which will automatically be created by this procedure. |
void |
report(java.io.PrintWriter out)
print human readable report (e.g., on parameters and associated model) |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Field Detail |
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public int[] likelihoodOrder
public int[] supportOrder
public double[] deltaL
public double[] posterior
public double[] support
public int numBootstraps
Constructor Detail |
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public ModelSupport()
Method Detail |
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public void compare(double[][] sLogL, int numBoot)
sLogL
- log-likelihoods of each sitenumBoot
- number of bootstrapspublic void compare(double[][] pLogL, int[] alias, int numBoot)
pLogL
- log-likelihoods of each patternalias
- map of patterns to sites in sequencenumBoot
- number of bootstrapspublic void report(java.io.PrintWriter out)
Report
report
in interface Report
out
- output stream
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