predict.seinfitR

Predict method for seinfitR objects

Implements the Seinhorst model to analyze the relationship between initial
nematode densities and plant growth response using nonlinear least squares
estimation. The package provides tools for model fitting, prediction, and
visualization, facilitating the study of plant-nematode interactions. Model
parameters can be estimated or set to predefined values based on Seinhorst (1986)
<doi:10.1007/978-1-4613-2251-1_11>.

João Novoletti

seinfitR

Modeling the Relationship Between Nematode Densities and Plant
Growth

Deoclecio Amorim

predict.seinfitR function

<dl><dt>object</dt>
<dd>An object of class <code>seinfitR</code> (output from <code>seinfitR()</code>).</dd>
<dt>newdata</dt>
<dd>Optional. A data frame containing the independent variable for which predictions should be made.
If not provided, predictions are made for the original data.</dd>
<dt>...</dt>
<dd>currently unused.</dd></dl>

Arguments

Predict SeinfitR — predict.seinfitR

<dl>

<dt>object</dt>
<dd>An object of class <code>seinfitR</code> (output from <code>seinfitR()</code>).</dd>


<dt>newdata</dt>
<dd>Optional. A data frame containing the independent variable for which predictions should be made.
If not provided, predictions are made for the original data.</dd>


<dt>...</dt>
<dd>currently unused.</dd>

</dl>

predict.seinfitR: Predict SeinfitR

Description

Usage

Value

Arguments

Details