inlabru: Poisson1_1D – R documentation

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Poisson1_1D

1-Dimensional Homogeneous Poisson example.

Description

Point data and count data, together with intensity function and expected counts for a homogeneous 1-dimensional Poisson process example.

Usage

data(Poisson1_1D)

Format

The data contain the following R objects:

lambda1_1D:: A function defining the intensity function of a nonhomogeneous Poisson process. Note that this function is only defined on the interval (0,55).
E_nc1: The expected counts of the gridded data.
pts1: The locations of the observed points (a data frame with one column, named x).
countdata1: A data frame with three columns, containing the count data:

x: The grid cell midpoint.
count: The number of detections in the cell.
exposure: The width of the cell.

Examples

library(ggplot2)
data(Poisson1_1D)
ggplot(countdata1) +
  geom_point(data = countdata1, aes(x = x, y = count), col = "blue") +
  ylim(0, max(countdata1$count)) +
  geom_point(data = pts1, aes(x = x), y = 0.2, shape = "|", cex = 4) +
  geom_point(
    data = countdata1, aes(x = x), y = 0, shape = "+",
    col = "blue", cex = 4
  ) +
  xlab(expression(bold(s))) +
  ylab("count")

inlabru

Bayesian Latent Gaussian Modelling using INLA and Extensions

v2.3.1

GPL (>= 2)

Authors

Finn Lindgren [aut, cre, cph] (<https://orcid.org/0000-0002-5833-2011>, Finn Lindgren continued development of the main code), Fabian E. Bachl [aut, cph] (Fabian Bachl wrote the main code), David L. Borchers [ctb, dtc, cph] (David Borchers wrote code for Gorilla data import and sampling, multiplot tool), Daniel Simpson [ctb, cph] (Daniel Simpson wrote the basic LGCP sampling method), Lindesay Scott-Howard [ctb, dtc, cph] (Lindesay Scott-Howard provided MRSea data import code), Seaton Andy [ctb] (Andy Seaton provided testing and bugfixes)

Initial release