Description Usage Arguments Details Author(s) See Also

Density, distribution function, quantile function, random generation, standard deviation and Anscombe residuals for some count data distributions. These auxiliary functions are used by several functions of the `tscount`

package.

1 2 3 4 5 6 7 | ```
ddistr(x, meanvalue, distr=c("poisson", "nbinom"), distrcoefs, ...)
pdistr(q, meanvalue, distr=c("poisson", "nbinom"), distrcoefs, ...)
qdistr(p, meanvalue, distr=c("poisson", "nbinom"), distrcoefs, ...)
rdistr(n, meanvalue, distr=c("poisson", "nbinom"), distrcoefs)
sddistr(meanvalue, distr=c("poisson", "nbinom"), distrcoefs)
ardistr(response, meanvalue, distr=c("poisson", "nbinom"), distrcoefs)
checkdistr(distr=c("poisson", "nbinom"), distrcoefs)
``` |

`x` |
vector of (non-negative integer) quantiles. |

`q` |
vector of quantiles. |

`p` |
vector of probabilities. |

`n` |
positive integer value giving the number of random values to return. |

`response` |
vector of true observations for calculation of residuals. |

`meanvalue` |
non-negative numeric vector of means. |

`distr` |
character value giving the distribution. Possible values are currently |

`distrcoefs` |
vector of additional distribution coefficients. For the Poisson distribution this argument can be omitted. For the negative binomial distribution it needs to be a vector of length one giving the value for the parameter |

`...` |
additional arguments |

Basically, these function are wrappers for specific functions for the respective distribution. The function `ddistr`

gives the density of the specified distribution, `pdistr`

the distribution function, `qdistr`

the quantile function and `rdistr`

generates random deviates from this distribution. These functions are a generalisation of the respective functions where `distr`

is replaced by either `pois`

or `nbinom`

. The function `sddistr`

returns the standard deviation of the specified distribution. The function `ardistr`

calculates Anscombe residuals for given values of the response. The function `checkdistr`

is for verification of the arguments `distr`

and `distrcoefs`

.

Tobias Liboschik

`Poisson`

for the Poisson distribution and `NegBinomial`

for the negative binomial distribution.

`tsglm`

for fitting a more genereal GLM for time series of counts.

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