seinfitR

Modeling the Relationship Between Nematode Densities and Plant Growth

https://github.com/dslabcena/seinfitr

Science Score: 13.0%

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  • Scientific vocabulary similarity
    Low similarity (15.3%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Modeling the Relationship Between Nematode Densities and Plant Growth

Basic Info
  • Host: GitHub
  • Owner: dslabcena
  • License: gpl-3.0
  • Language: R
  • Default Branch: master
  • Size: 188 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog License

README.Rmd

---
output: github_document
---




[![R-CMD-check](https://github.com/dslabcena/seinfitR/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/dslabcena/seinfitR/actions/workflows/R-CMD-check.yaml)



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# seinfitR:  Modeling the Relationship Between Nematode Densities and Plant Growth

Authors:

Deoclecio Amorim - amorim@cena.usp.br, CENA-USP

João Novoletti - joao.novoletti@gmail.com

The goal of seinfitR is to fit the Seinhorst equation to experimental data describing the relationship between preplant nematode densities and plant growth using nonlinear least squares fitting.


## Installation

You can install the development version of seinfitR from [GitHub](https://github.com/dslabcena/seinfitR) with:

``` r
# install.packages("pak")
pak::pak("dslabcena/seinfitR")
```

Alternatively, if you'd like to install the stable version of seinfitR from CRAN, run:

``` r
install.packages("seinfitR")
``` 
## Basic Use

The syntax of seinfitR is straightforward, with the main function being seinfitR(...).

## Example

Modeling plant response to nematode densities using the "glasshouse" dataset:

```{r example}
library(seinfitR)

data(glasshouse, package = "seinfitR")


# Fit the model
model <- seinfitR(p_i = "p_i", y = "y", data = glasshouse,
                  start = list(m = 6, t = 6),
                  control = seinfitR_control(maxiter = 20), z_fixed = TRUE)

# View model summary
summary(model)
```

The seinfitR package provides some methods for model evaluation and visualization:

```{r methods}
# Print model dependent/predictor variables, number of observations, and parameter estimates
print(model)

# Extract variance-covariance matrix
vcov(model)

#Extract model coefficients
coef(model)

# Calculate R-squared
r_squared(model)

# Calculate Plot
plot(model)
```

Methods Available for seinfitR Objects
```{r show_methods}
methods(class = "seinfitR")
```
License

The seinfitR package is licensed under the GNU General Public License, version 3, see file LICENSE.md. © 2025 Deoclecio J. Amorim & João Novoletti.

Owner

  • Name: DSLab
  • Login: dslabcena
  • Kind: user
  • Location: Piracicaba - SP

Machine Learning and Deep Learning in Agriculture and Environmental Applications.

GitHub Events

Total
  • Create event: 5
  • Issues event: 1
  • Release event: 2
  • Delete event: 1
  • Member event: 2
  • Public event: 1
  • Push event: 36
  • Fork event: 1
Last Year
  • Create event: 5
  • Issues event: 1
  • Release event: 2
  • Delete event: 1
  • Member event: 2
  • Public event: 1
  • Push event: 36
  • Fork event: 1

Packages

  • Total packages: 1
  • Total downloads:
    • cran 166 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
cran.r-project.org: seinfitR

Modeling the Relationship Between Nematode Densities and Plant Growth

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 166 Last month
Rankings
Dependent packages count: 26.8%
Dependent repos count: 33.0%
Average: 48.9%
Downloads: 86.7%
Maintainers (1)
Last synced: 10 months ago

Dependencies

DESCRIPTION cran
  • minpack.lm * imports
  • readxl * suggests
  • testthat >= 3.0.0 suggests