r-cran-spatstat.model 3.0-2-2 source package in Ubuntu
Changelog
r-cran-spatstat.model (3.0-2-2) unstable; urgency=medium
* Source-only upload.
* Reorder sequence of d/control fields by cme (routine-update)
* Set upstream metadata fields: Archive, Bug-Database, Bug-Submit,
Repository-Browse.
-- Andreas Tille <email address hidden> Thu, 08 Dec 2022 19:23:33 +0100
Upload details
- Uploaded by:
- Debian R Packages Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian R Packages Maintainers
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| r-cran-spatstat.model_3.0-2-2.dsc | 2.4 KiB | 907b7ccba1504cc2b0a570c8b7323751f28abb83d0be47c6447de95b62a77acd |
| r-cran-spatstat.model_3.0-2.orig.tar.gz | 765.0 KiB | e923f5608bcc571b14ac183af2d8568772dd6b769c5b0a34307084097c71d428 |
| r-cran-spatstat.model_3.0-2-2.debian.tar.xz | 3.2 KiB | 02339453e5ce9715a0b7ec89083977b5b07489b724578be8fe968365a4227a11 |
Available diffs
- diff from 3.0-2-1 to 3.0-2-2 (899 bytes)
No changes file available.
Binary packages built by this source
- r-cran-spatstat.model: GNU R parametric statistical modelling for the 'spatstat' family
Functionality for exploratory data analysis and nonparametric analysis
of spatial data, mainly spatial point patterns, in the 'spatstat' family
of packages. (Excludes analysis of spatial data on a linear network,
which is covered by the separate package 'spatstat.linnet'.) 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.
- r-cran-spatstat.model-dbgsym: debug symbols for r-cran-spatstat.model
