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ForestFit
Statistical Modelling for Plant Size Distributions
View on CRAN: Click
here
Download and install ForestFit package within the R console
Install from CRAN:
install.packages("ForestFit")
Install from Github:
library("remotes")
install_github("cran/ForestFit") Install by package version:
library("remotes")
install_version("ForestFit", "2.4.3") Attach the package and use:
library("ForestFit")
Maintained by
Mahdi Teimouri
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.ForestFit . ForestFit results . ForestFit.pdf . ForestFit_2.4.3.tar.gz . ForestFit_2.4.3.zip . ForestFit_2.4.3.zip . ForestFit_2.4.3.zip . ForestFit_2.4.3.tgz . ForestFit_2.4.3.tgz . ForestFit_2.4.3.tgz . ForestFit_2.4.3.tgz . ForestFit_2.4.3.tgz . ForestFit_2.4.3.tgz . ForestFit archive . https://CRAN.R-project.org/package=ForestFit .
First Published: 2019-07-18
Latest Update: 2023-02-28
Description:
Developed for the following tasks. 1 ) Computing the probability density function,
cumulative distribution function, random generation, and estimating the parameters
of the eleven mixture models. 2 ) Point estimation of the parameters of two -
parameter Weibull distribution using twelve methods and three - parameter Weibull
distribution using nine methods. 3 ) The Bayesian inference for the three -
parameter Weibull distribution. 4 ) Estimating parameters of the three - parameter
Birnbaum - Saunders, generalized exponential, and Weibull distributions fitted to
grouped data using three methods including approximated maximum likelihood,
expectation maximization, and maximum likelihood. 5 ) Estimating the parameters
of the gamma, log-normal, and Weibull mixture models fitted to the grouped data
through the EM algorithm, 6 ) Estimating parameters of the nonlinear height curve
fitted to the height - diameter observation, 7 ) Estimating parameters, computing
probability density function, cumulative distribution function, and generating
realizations from gamma shape mixture model introduced by Venturini et al. (2008)
, 8 ) The Bayesian inference, computing probability
density function, cumulative distribution function, and generating realizations
from four-parameter Johnson SB distribution, 9 ) Robust multiple linear regression
analysis when error term follows skewed t distribution, 10 ) Estimating
parameters of a given distribution fitted to grouped data using method of maximum
likelihood, and 11 ) Estimating parameters of the Johnson SB distribution through
the Bayesian, method of moment, conditional maximum likelihood, and two - percentile
method.
How to cite:
Mahdi Teimouri (2019). ForestFit: Statistical Modelling for Plant Size Distributions. R package version 2.4.3, https://cran.r-project.org/web/packages/ForestFit. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.3 (2019-07-18 18:50), 0.4.1 (2019-09-27 10:40), 0.4.3 (2019-11-14 10:00), 0.4.4 (2019-11-24 11:50), 0.4.6 (2019-11-30 02:20), 0.4.7 (2020-01-22 15:20), 0.4 (2019-09-11 13:10), 0.5.7 (2020-02-14 00:00), 0.5.8 (2020-05-23 07:50), 0.5.9 (2020-06-16 12:40), 0.6.0 (2020-06-28 01:50), 0.6.1 (2020-07-08 13:10), 0.7.1 (2021-02-06 15:00), 1.2.3 (2021-10-16 16:10), 2.2.3 (2023-02-28 06:02)
Other packages that cited ForestFit R package
View ForestFit citation profile
Other R packages that ForestFit depends,
imports, suggests or enhances
Complete documentation for ForestFit
Functions, R codes and Examples using
the ForestFit R package
Some associated functions: DBH . HW . SW . dgsm . djsb . dmixture . fitJSB . fitWeibull . fitbayesJSB . fitbayesWeibull . fitcurve . fitgrouped1 . fitgrouped2 . fitgsm . fitmixture . fitmixturegrouped . pgsm . pjsb . pmixture . rgsm . rjsb . rmixture . skewtreg . welcome .
Some associated R codes: ForestFit.R . welcome.R . Full ForestFit package functions and examples
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