JonathanVSV/RSModels: Contains functions that enable the construction of linear models with different parameters, cross validation implementation and the calculation of a random goodness-of-fit ditribution. These models are specially useful for studies that use remote sensing variables as independent variables to describe or predict measured-in-field community attributes.

This package contains functions that construct linear models for a ny number of dependent variables and nx number of independent variables. There are currently six models supported: 1 independent variable with linear term (y = mx + b), 1 independent variable with a quadratic term (y = mx + nx^2 + b), 2 independent variables (y = mx + ny + b), 2 independent variables with its interaction (y = mx + ny + ox:y + b), 2 independent variables with a quadratic term (y = mx + nx^2 + oy + b) and three independent variables (y = mx + ny + oz + b)

Getting started

Package details

AuthorJonathan V. Solórzano [aut, cre], Edgar J. González [aut, cre]
MaintainerJonathan V. Solórzano <[email protected]>
LicenseGPL-3
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("JonathanVSV/RSModels")
JonathanVSV/RSModels documentation built on Aug. 22, 2019, 4:16 p.m.