R: Discretised Beta Distribution

# Discretised Beta Distribution

## Documentation for package ‘dbd’ version 0.0-22

- DESCRIPTION file.

## Help Pages

aHess | Analytic hessian.
dbd | The db ("discretised Beta") distribution.
ddb | The db ("discretised Beta") distribution.
eow | Set or query the value of the '"maxitErrorOrWarn"' option.
exactMeDb | Exact moment estimates for the db distribution.
expValBb | Expected value of a beta binomial distribution.
expValBb.default | Expected value of a beta binomial distribution.
expValBb.mleBb | Expected value of a beta binomial distribution.
expValDb | Expected value of a db distribution.
expValDb.default | Expected value of a db distribution.
expValDb.mleDb | Expected value of a db distribution.
finfo | Fisher information.
get.eow | Set or query the value of the '"maxitErrorOrWarn"' option.
gof | Goodness of fit test for db and beta binomial distributions.
gof.mleBb | Goodness of fit test for db and beta binomial distributions.
gof.mleDb | Goodness of fit test for db and beta binomial distributions.
hrsRcePred | Horse race prediction data.
llPlot | Plot the log likelihood surface for the data.
logLik.mleBb | Retrieve the (maximised) log likelihood from an '"mleDb"' or an '"mleBb"' object.
logLik.mleDb | Retrieve the (maximised) log likelihood from an '"mleDb"' or an '"mleBb"' object.
makeBbdpars | Create an object of class '"Bbdpars"'.
makeDbdpars | Create an object of class '"Dbdpars"'.
mcCovMat | Monte Carlo estimation of a covariance matrix.
mcCovMat.Bbdpars | Monte Carlo estimation of a covariance matrix.
mcCovMat.Dbdpars | Monte Carlo estimation of a covariance matrix.
mcCovMat.default | Monte Carlo estimation of a covariance matrix.
mcCovMat.mleBb | Monte Carlo estimation of a covariance matrix.
mcCovMat.mleDb | Monte Carlo estimation of a covariance matrix.
mleBb | Maximum likelihood estimation of the parameters of a beta binomial distribution.
mleDb | Maximum likelihood estimates of db parameters.
ndata | Retrieve the '"ndata"' attribute of an '"mleDb"' object.
nHess | Numerical hessian calculation.
pdb | The db ("discretised Beta") distribution.
plot.mleBb | Plot a maxium likelihood fit to data from a beta binomial distribution.
plot.mleDb | Plot a maxium likelihood fit to data from a db distribution.
plotBb | Plot a beta binomial distribution.
plotDb | Plot a db distribution.
qdb | The db ("discretised Beta") distribution.
rdb | The db ("discretised Beta") distribution.
set.eow | Set or query the value of the '"maxitErrorOrWarn"' option.
simulate.Bbdpars | Simulate data from a db or beta binomial distribution.
simulate.Dbdpars | Simulate data from a db or beta binomial distribution.
simulate.mleBb | Simulate data from a db or beta binomial distribution.
simulate.mleDb | Simulate data from a db or beta binomial distribution.
varBb | Variance of a beta binomial distribution.
varBb.default | Variance of a beta binomial distribution.
varBb.mleBb | Variance of a beta binomial distribution.
varDb | Variance of a db distribution.
varDb.default | Variance of a db distribution.
varDb.mleDb | Variance of a db distribution.
vcov.mleBb | Retrieve the covariance matrix from an '"mleBb"' object.
vcov.mleDb | Retrieve the covariance matrix from an '"mleDb"' object.
visRecog | Visual recognition data.