Package: seinfitR 1.0.1.9000
seinfitR: Modeling the Relationship Between Nematode Densities and Plant Growth
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>.
Authors:
seinfitR_1.0.1.9000.tar.gz
seinfitR_1.0.1.9000.zip(r-4.6)seinfitR_1.0.1.9000.zip(r-4.5)
seinfitR_1.0.1.9000.tgz(r-4.6-any)seinfitR_1.0.1.9000.tgz(r-4.5-any)
seinfitR_1.0.1.9000.tar.gz(r-4.6-any)seinfitR_1.0.1.9000.tar.gz(r-4.5-any)
seinfitR_1.0.1.9000.tgz(r-4.5-emscripten)
seinfitR.pdf |seinfitR.html✨
seinfitR/json (API)
NEWS
| # Install 'seinfitR' in R: |
| install.packages('seinfitR', repos = c('https://dslabcena.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dslabcena/seinfitr/issues
- glasshouse - Glasshouse Experiment Dataset
- jambu - Jambu Dataset
Last updated from:04865206b6. Checks:8 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 116 | ||
| source / vignettes | OK | 159 | ||
| linux-release-x86_64 | OK | 113 | ||
| macos-devel-arm64 | OK | 129 | ||
| macos-release-arm64 | OK | 164 | ||
| windows-devel | OK | 70 | ||
| windows-release | OK | 72 | ||
| wasm-release | OK | 99 |
Exports:r_squaredseinfitRseinfitR_control
Dependencies:minpack.lm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Extract Coefficients | coef.seinfitR |
| Glasshouse Experiment Dataset | glasshouse |
| Jambu Dataset | jambu |
| Plot SeinfitR | plot.seinfitR |
| Predict SeinfitR | predict.seinfitR |
| Print SeinfitR | print.seinfitR |
| R-squared Calculation | r_squared |
| SeinfitR | seinfitR |
| SeinfitR Control | seinfitR_control |
| Summary of seinfitR Model | summary.seinfitR |
| Variance-Covariance Matrix | vcov.seinfitR |
