Discretised Beta Distribution

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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.