interval.confidence

Interval of confidence in model regression

Linear and nonlinear regression analysis common in agricultural science articles (Archontoulis & Miguez (2015). <doi:10.2134/agronj2012.0506>). The package includes polynomial, exponential, gaussian, logistic, logarithmic, segmented, non-parametric models, among others. The functions return the model coefficients and their respective p values, coefficient of determination, root mean square error, AIC, BIC, as well as graphs with the equations automatically.

Gabriel Danilo Shimizu

AgroReg

Regression Analysis Linear and Nonlinear for Agriculture

Leandro Simoes Azeredo Goncalves

interval.confidence function

<dl><dt>model</dt>
<dd>Object analysis</dd></dl>

Arguments

Author

Analysis: Interval of confidence — interval.confidence

<dl>

<dt>model</dt>
<dd>Object analysis</dd>

</dl>

interval.confidence: Analysis: Interval of confidence

Description

Usage

Value

Arguments

Author

Examples