Reference

All functions

ex1pop ex1samp

Synthetic grouped two dimensional numeric (binned) data

tridiag() det.tridiag()

Linear Algebra Functions

mvbeta() lmvbeta() mnchoose() lmnchoose()

(More) Special Functions of Mathematics

lemur.control()

Construct a control object used by lemur.pack functions

loghastings_binomial_()

Calculate the log hastings adjustment for metropolis algorithm (quickly)

loglik_binary_()

Calculate the log-likelihood for a 1-d binary population

loglik_binary_fast_()

Calculate the log-likelihood for a 1-d binary population (quickly)

loglik_multiclass_()

Calculate the log-likelihood for a 1-d multi-class population

logpost_binary()

Calculate the log-posterior of a 1-d binary population

logpost_binary_()

Calculate the log-posterior for a 1-d binary population

logpost_binary_fast()

Calculate the log-posterior of a 1-d binary population (quickly)

logpost_binary_fast_()

Calculate the log-posterior for a 1-d binary population (quickly)

logpost_multiclass()

Calculate the log-posterior of a 1-d multi-class population

logpost_multiclass_()

Calculate the log-posterior for a 1-d multi-class population

logprior_binary_beta_fast_()

Calculates the beta log-prior for a 1-d binary population (quickly)

logprior_binary_flat_()

Calculates the flat log-prior for a 1-d binary population

logprior_binary_uninformative_()

Calculates the uninformative log-prior for a 1-d binary population

logprior_multiclass_flat_()

Calculates the flat log-prior for a 1-d multi-class population

logprior_multiclass_uninformative_()

Calculates the uninformative log-prior for a 1-d multi-class population

mcmc_binary()

Sample from the posterior of a 1-d binary population

mcmc_binary_fast()

Sample from the posterior of a 1-d binary population (quickly)

mcmc_binary_superfast()

Sample from the posterior predictive of a 1-d binary population (very quickly)

mcmc_multiclass()

Sample from the posterior of a 1-d multi-class population

mcmc_multinomial_superfast()

Sample from the posterior predictive of a 1-d multinomial population (very quickly)

multivariate_multinomial_postpred()

Sample from the posterior predictive of a multivariate multinomial distribution