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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>.

Version:	1.0.0
Depends:	R (≥ 3.5.0)
Imports:	Matrix,magic,Deriv (≥ 1.0),dplyr (≥ 1.0.0),tidyr (≥1.1.0)
Published:	2023-12-19
DOI:	10.32614/CRAN.package.THREC
Author:	Friday Nwabueze Ogana [aut, cre], Manuel Arias-Rodil [aut]
Maintainer:	Friday Nwabueze Ogana <ogana_fry at yahoo.com>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	THREC results

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