CRAN/E | forestmangr

forestmangr

Forest Mensuration and Management

Installation

About

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). doi:10.1002/9781118902028.

github.com/sollano/forestmangr#readme
Bug report File report

Key Metrics

Version 0.9.5
R ≥ 3.5
Published 2023-02-15 108 days ago
Needs compilation? no
License MIT
License File
CRAN checks forestmangr results

Downloads

Last 24 hours 0 -100%
Last 7 days 238 -10%
Last 30 days 1.180 -1%
Last 90 days 3.463 +28%
Last 365 days 12.990 -22%

Maintainer

Maintainer

Sollano Rabelo Braga

sollanorb@gmail.com

Authors

Sollano Rabelo Braga

aut / cre / cph

Marcio Leles Romarco de Oliveira

aut

Eric Bastos Gorgens

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Fitting linear and non-linear equations by group
Ajuste de equações lineares e não lineares por grupo
Forest Inventory: Height estimation and plot summarise
Inventário: estimativa de altura e totalização de parcelas
Phytosociological analysis
Análise fitossociológica
Sampling
Amostragem
Volume estimation and volumetric models
Cubagem e modelos volumétricos
Evaluating yield and growth
Avaliando crescimento e produção

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

forestmangr archive

Depends

R ≥ 3.5

Imports

dplyr ≥ 0.7.0
ggplot2 ≥ 2.0
ggthemes
tidyr
broom
purrr
plyr
tibble ≥ 3.0.0
systemfit
ggpmisc
rlang
utils
car
stats
methods
magrittr
minpack.lm
FinCal
scales
ggdendro
gridExtra
shiny
miniUI

Suggests

knitr
rmarkdown
tidyselect
formattable