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forestmangr  

Forest Mensuration and Management
View on CRAN: Click here


Download and install forestmangr package within the R console
Install from CRAN:
install.packages("forestmangr")

Install from Github:
library("remotes")
install_github("cran/forestmangr")

Install by package version:
library("remotes")
install_version("forestmangr", "0.9.8")



Attach the package and use:
library("forestmangr")
Maintained by
Sollano Rabelo Braga
[Scholar Profile | Author Map]
First Published: 2018-10-26
Latest Update: 2023-02-15
Description:
Processing forest inventory data with methods such as simple random sampling, stratified random sampling and systematic sampling. There are also functions for yield and growth predictions and model fitting, linear and nonlinear grouped data fitting, and statistical tests. References: Kershaw Jr., Ducey, Beers and Husch (2016). .
How to cite:
Sollano Rabelo Braga (2018). forestmangr: Forest Mensuration and Management. R package version 0.9.8, https://cran.r-project.org/web/packages/forestmangr. Accessed 31 Mar. 2025.
Previous versions and publish date:
0.9.0 (2018-10-26 16:30), 0.9.1 (2019-01-03 00:10), 0.9.2 (2020-04-07 16:00), 0.9.3 (2021-01-24 23:00), 0.9.4 (2021-08-16 15:00), 0.9.5 (2023-02-15 23:20), 0.9.6 (2023-11-23 19:30), 0.9.7 (2024-09-15 01:40)
Other packages that cited forestmangr R package
View forestmangr citation profile
Other R packages that forestmangr depends, imports, suggests or enhances
Complete documentation for forestmangr
Functions, R codes and Examples using the forestmangr R package
Some associated functions: avg_tree_curve . bdq_meyer . bias_per . check_names . class_center . classify_site . diameter_class . dom_height . est_clutter . exfm1 . exfm10 . exfm11 . exfm12 . exfm13 . exfm14 . exfm15 . exfm16 . exfm17 . exfm18 . exfm19 . exfm2 . exfm20 . exfm21 . exfm22 . exfm3 . exfm4 . exfm5 . exfm6 . exfm7 . exfm8 . exfm9 . fit_clutter . forest_structure . graybill_f . guide_curve . huberwb . huberwob . ident_model . inv . lm_resid . lm_resid_group . lm_table . na_to_0 . nls_table . npv_irr . outliersiqr . pipe . plot_summarise . pow . resid_plot . rm_empty_col . rmse_per . round_df . similarity_matrix . smalianwb . smalianwob . species_aggreg . species_diversity . sprs . ss_diffs . strs . tee . tree_summarise . vertical_stratum . vol_summarise . 
Some associated R codes: avg_tree_curve.R . bdq_meyer.R . bias_per.R . check_names.R . class_center.R . classify_site.R . diameter_class.R . dom_height.R . est_clutter.R . exfm1.R . exfm10.R . exfm11.R . exfm12.R . exfm13.R . exfm14.R . exfm15.R . exfm16.R . exfm17.R . exfm18.R . exfm19.R . exfm2.R . exfm20.R . exfm21.R . exfm22.R . exfm3.R . exfm4.R . exfm5.R . exfm6.R . exfm7.R . exfm8.R . exfm9.R . fit_clutter.R . forest_structure.R . graybill_f.R . guide_curve.R . huberwb.R . huberwob.R . ident_model.R . inv.R . lm_resid.R . lm_resid_group.R . lm_table.R . na_to_0.R . nls_table.R . npv_irr.R . outliersiqr.R . pipe.R . plot_summarise.R . pow.R . quasiquo.R . resid_plot.R . rm_empty_col.R . rmse_per.R . round_df.R . similarity_matrix.R . smalianwb.R . smalianwob.R . species_aggreg.R . species_diversity.R . sprs.R . ss_diffs.R . strs.R . tee.R . tree_summarise.R . vertical_stratum.R . vol_summarise.R .  Full forestmangr package functions and examples
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