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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 |
| 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 |
Documentation:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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