Description Usage Arguments Value Author(s) References Examples

View source: R/pit.R View source: R/AllGeneric.R

See Czado et al. (2009).

1 2 3 |

`x` |
numeric vector representing the observed counts. |

`pdistr` |
either a list of predictive cumulative distribution functions for
the observations |

`J` |
the number of bins of the histogram. |

`relative` |
logical indicating if relative frequency or the density should be plotted. |

`...` |
ignored if |

`plot` |
a list of arguments for |

an object of class `"pit"`

, which inherits from class
`"histogram"`

(see `hist`

).
It is returned invisibly if a plot is produced.

Michaela Paul and Sebastian Meyer

Czado, C., Gneiting, T. and Held, L. (2009):
Predictive model assessment for count data.
*Biometrics*, **65** (4), 1254-1261.
doi: 10.1111/j.1541-0420.2009.01191.x

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ```
## Simulation example of Czado et al. (2009, Section 2.4)
set.seed(100)
x <- rnbinom(200, mu = 5, size = 2)
pdistrs <- list("NB(5,0)" = function (x) ppois(x, lambda=5),
"NB(5,1/2)" = function (x) pnbinom(x, mu=5, size=2),
"NB(5,1)" = function (x) pnbinom(x, mu=5, size=1))
## Reproduce Figure 1
op <- par(mfrow = c(1,3))
for (i in seq_along(pdistrs)) {
pit(x, pdistr = pdistrs[[i]], J = 10, relative = TRUE,
plot = list(ylim = c(0,2.75), main = names(pdistrs)[i]))
box()
}
par(op)
## Alternative call using ... arguments for pdistr (less efficient)
stopifnot(identical(pit(x, "pnbinom", mu = 5, size = 2, plot = FALSE),
pit(x, pdistrs[[2]], plot = FALSE)))
``` |

surveillance documentation built on May 29, 2018, 1:07 a.m.

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