termPlot-methods: termPlot
In ppstat: Point Process Statistics

Description Usage Arguments Details Value Author(s) See Also

Plots the linear filter functions for a PointProcessModel.

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## S4 method for signature 'PointProcessModel'
termPlot(model, alpha = 0.05, layer =
geom_line(), trans = NULL, confArg = list(fill = "blue", alpha = 0.2), ...)

`model`	an object of class `PointProcessModel`.
`alpha`	a `numeric`. One minus the level of the pointwise confidence intervals. Default value `0.05`. A value of 1 means no confidence intervals.
`layer`	a `proto` object specifying a ggplot2 layer. Default layer `geom_line()`.
`trans`	a function or character string. The function used to transform the linear filter functions before plotting.
`confArg`	a `list`. Determines the color of confidence bands.
`...`	other arguments.

The (estimated) linear filter functions in the PointProcessModel are extracted and plotted. Approximate pointwise level 1-alpha confidence intervals are also plotted.

Setting trans to exp, the linear filters are exponentiated before plotting. This particular transformation is relevant for the log-link function, as this will then provide the multiplicative effect of the filter on the intensity as an alternative to the log-additive effect.

A ggplot object.

Niels Richard Hansen, Niels.R.Hansen@math.ku.dk

PointProcessModel, pointProcessModel, ggplot

ppstat documentation built on May 2, 2019, 5:26 p.m.