baselogit |
Calculates a set of baseline logits from a set of probabilities |
DiabRecess |
Data on diabetes patients antigen classes |
DirichNormHWE |
Evaluates the normalizing constant under the HWE model, with a conjugate prior |
DirichNormSat |
Evaluates the normalizing constant (as used in the denominator of a Bayes factor) for a conjugate prior |
DirichSampHWE |
Simulate samples from a Dirichlet prior or posterior under HWE |
DirichSampSat |
Simulate samples from a Dirichlet prior or posterior under the saturated model |
HWEDirichBF2 |
Evaluates the Bayes factor in the k=2 allele case under conjugate priors |
HWEImportSamp |
Importance sampling to calculate the normalizing constant under the single f model |
HWEmodelsMLE |
Evaluates the maximum likelihood estimates of the parameters of various models in the k allele case |
HWEsimdat |
Simulate data under the single f model with k alleles. |
HWETriangBF2 |
Evaluates the Bayes factor in the k=2 allele case with a "triangular" prior under the null |
invbaselogit |
Converts a set of k-1 baseline logits into a set of probabilities |
LambdaOptim |
Obtains values for the prior specification for lambda |
MultLogLik |
Evaluates the Multinomial likelihood under the single f model |
MultLogLikP |
Evaluates the Multinomial likelihood under the single f model |
SinglefPrior |
Samples from the single f prior. |
SinglefReject |
Samples from the posterior for the single f model |
TriangNormHWE |
Evaluates the normalizing constant under the HWE model, for the "triangular" prior distribution |