Man pages for dbd
Discretised Beta Distribution
| aHess | Analytic hessian. |
| db | The db ("discretised Beta") distribution. |
| dbd-internal | Internal Verdis functions. |
| 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. |
| expValDb | Expected value of a db distribution. |
| finfo | Fisher information. |
| gof | 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 | Retrieve the (maximised) log likelihood from an '"mleDb"' or... |
| makeBbdpars | Create an object of class '"Bbdpars"'. |
| makeDbdpars | Create an object of class '"Dbdpars"'. |
| mcCovMat | Monte Carlo estimation of a covariance matrix. |
| mleBb | Maximum likelihood estimation of the parameters of a beta... |
| mleDb | Maximum likelihood estimates of db parameters. |
| ndata | Retrieve the '"ndata"' attribute of an '"mleDb"' object. |
| nHess | Numerical hessian calculation. |
| plotBb | Plot a beta binomial distribution. |
| plotDb | Plot a db distribution. |
| plot.mleBb | Plot a maxium likelihood fit to data from a beta binomial... |
| plot.mleDb | Plot a maxium likelihood fit to data from a db distribution. |
| simulate | Simulate data from a db or beta binomial distribution. |
| varBb | Variance of a beta binomial distribution. |
| varDb | 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. |
