Package: mastif 2.4

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 [aut, cre]

mastif_2.4.tar.gz
mastif_2.4.tar.gz(r-4.7-arm64)mastif_2.4.tar.gz(r-4.7-x86_64)mastif_2.4.tar.gz(r-4.6-arm64)mastif_2.4.tar.gz(r-4.6-x86_64)
mastif_2.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mastif/json (API)

# Install 'mastif' in R:
install.packages('mastif', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

openblascpp

2.00 score 244 downloads 9 exports 43 dependencies

Last updated from:b0e65e629b. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK182
linux-devel-x86_64OK180
source / vignettesOK245
linux-release-arm64OK214
linux-release-x86_64OK177
wasm-releaseOK123

Exports:mastClimatemastFillCensusmastifmastMapmastPlotmastPriorsmastSimmastSpectralDensitymastVolatility

Dependencies:alabamaaskpasscliclustercorrplotcurldata.tableDEoptimRdigestfullRankMatrixgluehttrjsonlitelifecyclemagrittrmimenleqslvnumDerivopensslpillarpkgconfigplyrqrngR.cacheR.methodsS3R.ooR.utilsR6RANNRcppRcppArmadillorepmisrlangrobustbasespacefillrstringistringrsystibbleTruncatedNormalutf8vctrsxtable

Mast Inference and Forecasting ( mastif )

James S. Clark

Rendered frommastifVignette.Rmdusingknitr::rmarkdownon May 25 2026.

Last update: 2026-03-26
Started: 2019-05-20