gnu: Add r-spatstat-model.

* gnu/packages/cran.scm (r-spatstat-model): New variable.
This commit is contained in:
Ricardo Wurmus 2022-11-29 15:06:22 +01:00
parent faa896862c
commit 498229bcb9
No known key found for this signature in database
GPG Key ID: 197A5888235FACAC

View File

@ -29139,6 +29139,50 @@ tests for covariate effects (Cox-Berman-Waller-Lawson,
Kolmogorov-Smirnov, ANOVA) are also supported.")
(license license:gpl2+)))
(define-public r-spatstat-model
(package
(name "r-spatstat-model")
(version "3.0-2")
(source (origin
(method url-fetch)
(uri (cran-uri "spatstat.model" version))
(sha256
(base32
"0a6lf5y0k13h60s0lnwwfrmxswl7avcg4fhqmha1nmycidhga8z9"))))
(properties `((upstream-name . "spatstat.model")))
(build-system r-build-system)
(propagated-inputs
(list r-abind
r-goftest
r-matrix
r-mgcv
r-nlme
r-rpart
r-spatstat-data
r-spatstat-explore
r-spatstat-geom
r-spatstat-random
r-spatstat-sparse
r-spatstat-utils
r-tensor))
(home-page "https://spatstat.org/")
(synopsis "Parametric statistical modelling for the spatstat family")
(description
"This package implements functionality for exploratory data
analysis and nonparametric analysis of spatial data, mainly spatial
point patterns, in the spatstat family of packages. Methods include
quadrat counts, K-functions and their simulation envelopes, nearest
neighbour distance and empty space statistics, Fry plots, pair
correlation function, kernel smoothed intensity, relative risk
estimation with cross-validated bandwidth selection, mark correlation
functions, segregation indices, mark dependence diagnostics, and
kernel estimates of covariate effects. Formal hypothesis tests of
random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo,
Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and
tests for covariate effects (Cox-Berman-Waller-Lawson,
Kolmogorov-Smirnov, ANOVA) are also supported.")
(license license:gpl2+)))
(define-public r-spatstat-utils
(package
(name "r-spatstat-utils")