Packaged: 2020-10-23 09:04:56 UTC; msignorelli

Packaged: 2021-01-07 10:39:24 UTC; msignorelli

Packaged: 2021-03-01 09:50:25 UTC; msignorelli

model described in Signorelli et al. (2021,
Packaged: 2021-11-05 14:02:06 UTC; msignorelli

Packaged: 2021-12-01 15:06:01 UTC; msignorelli

Description: Fits the Poisson-Tweedie generalized linear mixed model
Likelihood approximation based on adaptive Gauss Hermite quadrature
Imports: graphics, GLMMadaptive, lme4, matrixcalc, moments, mvtnorm,

Description: Functions used for analyzing count data, mostly crime counts. Includes checking difference in two Poisson counts (e-test), checking the fit for a Poisson distribution, small sample tests for counts in bins (Wheeler, ????) <doi:10.1002/jip.1449>, Weighted Displacement Difference test (Wheeler and Ratcliffe, 2018) <doi:10.1186/s40163-018-0085-5>, to evaluate crime changes over time in treated/control areas. Additionally includes functions for aggregating spatial data and spatial feature engineering.
Imports: partitions, sp, raster, igraph, RANN, spatstat.geom, rgeos,
Author: Andrew Wheeler [aut, cre] (<https://orcid.org/0000-0003-2255-1316>)

Description: Functions used for analyzing count data, mostly crime counts. Includes checking difference in two Poisson counts (e-test), checking the fit for a Poisson distribution, small sample tests for counts in bins, Weighted Displacement Difference test (Wheeler and Ratcliffe, 2018) <doi:10.1186/s40163-018-0085-5>, to evaluate crime changes over time in treated/control areas. Additionally includes functions for aggregating spatial data and spatial feature engineering.
Imports: partitions, sp, raster, igraph, RANN, spatstat.geom,

Title:  Multi-dimensional Point Process Models
Author:  Roger D. Peng <rpeng@stat.ucla.edu>
Description:  Tools for analyzing multi-dimensional point process models

Title: Construct Polygons Summarising the Location and Variability of
Authors@R: c(person("Jonathan", "Keith", role = c("aut", "cre"),
person("Ken", "Clarkson", role = "aut"),
person("Eric", "Hufschmid", role = "ctb"),
Description: Various applications in invasive species biology,
conservation biology, epidemiology and elsewhere involve
sampling of sets of 2D points from a posterior distribution.
The number of such point sets may be large, say 1000 or 10000.
This package facilitates visualisation of such output by
constructing seven nested polygons representing the location and
variability of the point sets. This can be used, for example, to
visualise the range boundary of a species, and uncertainty in