Package: mastif 2.3

James S. Clark

mastif: Mast Inference and Forecasting

Analyzes production and dispersal of seeds dispersed from trees and recovered in seed traps. Motivated by long-term inventory plots where seed collections are used to infer seed production by each individual plant.

Authors:James S. Clark

mastif_2.3.tar.gz
mastif_2.3.tar.gz(r-4.5-noble)mastif_2.3.tar.gz(r-4.4-noble)
mastif_2.3.tgz(r-4.4-emscripten)mastif_2.3.tgz(r-4.3-emscripten)
mastif.pdf |mastif.html✨
mastif/json (API)

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

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.48 score 262 downloads 9 exports 32 dependencies

Last updated 8 months agofrom:b0fc8d95e7. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 24 2024
R-4.5-linux-x86_64OKNov 24 2024

Exports:mastClimatemastFillCensusmastifmastMapmastPlotmastPriorsmastSimmastSpectralDensitymastVolatility

Dependencies:askpasscliclustercorrplotcurldata.tableDEoptimRdigestgluehttrjsonlitelifecyclemagrittrmimeopensslplyrR.cacheR.methodsS3R.ooR.utilsR6RANNRcppRcppArmadillorepmisrlangrobustbasestringistringrsysvctrsxtable

Mast Inference and Forecasting ( mastif )

James S. Clark

Rendered frommastifVignette.Rmdusingknitr::rmarkdownon Nov 24 2024.

Last update: 2024-01-24
Started: 2019-05-20