c(person(given = "Mirko",
family = "Signorelli",
role = c("aut", "cre", "cph"),
email = "msignorelli.rpackages@gmail.com",
comment = c(ORCID = "0000-0002-8102-3356")),
person(given = "Pietro",
family = "Spitali",
role = "aut",
email = "p.spitali@lumc.nl"),
person(given = "Roula",
family = "Tsonaka",
role = "aut",
email = "s.tsonaka@lumc.nl"))
Mirko Signorelli [aut, cre, cph]
(<https://orcid.org/0000-0002-8102-3356>),
Pietro Spitali [aut],
Roula Tsonaka [aut]

Fits the Poisson-Tweedie generalized linear mixed
model described in Signorelli et al. (2021,
<doi:10.1177/1471082X20936017>).  Likelihood approximation based on
adaptive Gauss Hermite quadrature rule.

Fits the Poisson-Tweedie generalized linear mixed model
described in Signorelli et al. (2021, <doi:10.1177/1471082X20936017>).
Likelihood approximation based on adaptive Gauss Hermite quadrature
rule.
graphics, GLMMadaptive, lme4, matrixcalc, moments, mvtnorm,
numDeriv, tweeDEseq

person(given = "Andrew",
family = "Wheeler",
role = c("aut", "cre"),
email = "apwheele@gmail.com",
comment = c(ORCID = "0000-0003-2255-1316"))
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.
partitions, sp, raster, igraph, RANN, spatstat.geom, rgeos,
maptools, stats, methods
Andrew Wheeler [aut, cre] (<https://orcid.org/0000-0003-2255-1316>)

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.
partitions, sp, raster, igraph, RANN, spatstat.geom,
spatstat.utils, rgeos, stats, methods