Package: THREC 1.0.0

Friday Nwabueze Ogana

THREC: Tree Height Response Calibration for Swedish Forests

A tool that allows users to estimate tree height in the long-term forest experiments in Sweden. It utilizes the multilevel nonlinear mixed-effect height models developed for the forest experiments and consists of four functions for the main species, other conifer species, and other broadleaves. Each function within the system returns a data frame that includes the input data and the estimated heights for any missing values. Ogana et al. (2023) <doi:10.1016/j.foreco.2023.120843>\n Arias-Rodil et al. (2015) <doi:10.1371/JOURNAL.PONE.0143521>.

Authors:Friday Nwabueze Ogana [aut, cre], Manuel Arias-Rodil [aut]

THREC_1.0.0.tar.gz
THREC_1.0.0.tar.gz(r-4.7-any)THREC_1.0.0.tar.gz(r-4.6-any)
THREC_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
THREC/json (API)

# Install 'THREC' in R:
install.packages('THREC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • broad - Tree data from the long-term forest experiments in Sweden
  • Treeht - Tree data from the long-term forest experiments in Sweden

On CRAN:

Conda:

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

1.00 score 1 scripts 504 downloads 4 exports 25 dependencies

Last updated from:39f6d80f46. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK136
source / vignettesOK155
linux-release-x86_64OK140
wasm-releaseOK109

Exports:broadleavesconifersmain_speciesspecies_specific

Dependencies:abindclicpp11DerivdplyrgenericsgluelatticelifecyclemagicmagrittrMatrixpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr