Package: ppgam 1.0.2

ppgam: Generalised Additive Point Process Models

Methods for fitting point processes with parameters of generalised additive model (GAM) form are provided. For an introduction to point processes see Cox, D.R & Isham, V. (Point Processes, 1980, CRC Press), GAMs see Wood, S.N. (2017) <doi:10.1201/9781315370279>, and the fitting approach see Wood, S.N., Pya, N. & Safken, B. (2016) <doi:10.1080/01621459.2016.1180986>.

Authors:Ben Youngman [aut, cre], Theo Economou [aut]

ppgam_1.0.2.tar.gz
ppgam_1.0.2.zip(r-4.5)ppgam_1.0.2.zip(r-4.4)ppgam_1.0.2.zip(r-4.3)
ppgam_1.0.2.tgz(r-4.4-any)ppgam_1.0.2.tgz(r-4.3-any)
ppgam_1.0.2.tar.gz(r-4.5-noble)ppgam_1.0.2.tar.gz(r-4.4-noble)
ppgam_1.0.2.tgz(r-4.4-emscripten)ppgam_1.0.2.tgz(r-4.3-emscripten)
ppgam.pdf |ppgam.html✨
ppgam/json (API)
NEWS

# Install 'ppgam' in R:
install.packages('ppgam', repos = c('https://byoungman.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/byoungman/ppgam/issues

Datasets:
  • USlandfall - Times of landfalling US hurricanes
  • windstorm - Locations of windstorm peaks and tracks over the North Atlantic

On CRAN:

1 exports 0.88 score 8 dependencies 1.6k downloads

Last updated 2 months agofrom:833c5c63fb. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-winOKAug 22 2024
R-4.5-linuxOKAug 22 2024
R-4.4-winOKAug 22 2024
R-4.4-macOKAug 22 2024
R-4.3-winOKAug 22 2024
R-4.3-macOKAug 22 2024

Exports:ppgam

Dependencies:evgamlatticeMASSMatrixmgcvnlmeRcppRcppArmadillo