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Provides functions for simulating and estimating parameters of various growth models, including Logistic, Exponential, Theta-logistic, Von-Bertalanffy, and Gompertz models. The package supports both simulated and real data analysis, including parameter estimation, visualization, and calculation of global and local estimates. The methods are based on research described by Md Aktar Ul Karim and Amiya Ranjan Bhowmick (2022) in (<https://www.researchsquare.com/article/rs-2363586/v1>). An interactive web application is also available at [GPEMR Web App](<https://gpem-r.shinyapps.io/GPEM-R/>).
| Version: | 0.1.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | mvtnorm |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2024-09-04 |
| DOI: | 10.32614/CRAN.package.GPEMR |
| Author: | Ruqaiya Shaikh [aut, cre], Amiya Ranjan Bhowmick [aut], Md Aktar Ul Karim [aut] |
| Maintainer: | Ruqaiya Shaikh <ruqaiyashaikh41 at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | GPEMR results |
| Reference manual: | GPEMR.pdf |
| Vignettes: |
GPEMR (source) |
| Package source: | GPEMR_0.1.0.tar.gz |
| Windows binaries: | r-devel: GPEMR_0.1.0.zip, r-release: GPEMR_0.1.0.zip, r-oldrel: GPEMR_0.1.0.zip |
| macOS binaries: | r-release (arm64): GPEMR_0.1.0.tgz, r-oldrel (arm64): GPEMR_0.1.0.tgz, r-release (x86_64): GPEMR_0.1.0.tgz, r-oldrel (x86_64): GPEMR_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.