Package: GPEMR 0.1.0

GPEMR: Growth Parameter Estimation Method

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/>).

Authors:Ruqaiya Shaikh [aut, cre], Amiya Ranjan Bhowmick [aut], Md Aktar Ul Karim [aut]

GPEMR_0.1.0.tar.gz
GPEMR_0.1.0.zip(r-4.5)GPEMR_0.1.0.zip(r-4.4)GPEMR_0.1.0.zip(r-4.3)
GPEMR_0.1.0.tgz(r-4.5-any)GPEMR_0.1.0.tgz(r-4.4-any)GPEMR_0.1.0.tgz(r-4.3-any)
GPEMR_0.1.0.tar.gz(r-4.5-noble)GPEMR_0.1.0.tar.gz(r-4.4-noble)
GPEMR_0.1.0.tgz(r-4.4-emscripten)GPEMR_0.1.0.tgz(r-4.3-emscripten)
GPEMR.pdf |GPEMR.html
GPEMR/json (API)

# Install 'GPEMR' in R:
install.packages('GPEMR', repos = c('https://ruqaiya41.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda-Forge:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 163 downloads 4 exports 1 dependencies

Last updated 6 months agofrom:41b86f646a. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 04 2025
R-4.5-winOKMar 04 2025
R-4.5-macOKMar 04 2025
R-4.5-linuxOKMar 04 2025
R-4.4-winOKMar 04 2025
R-4.4-macOKMar 04 2025
R-4.4-linuxOKMar 04 2025
R-4.3-winOKMar 04 2025
R-4.3-macOKMar 04 2025

Exports:comparison_plotp_value_calcreal_datasimulated_function

Dependencies:mvtnorm

GPEMR

Rendered fromGPEMR.Rmdusingknitr::rmarkdownon Mar 04 2025.

Last update: 2024-09-05
Started: 2024-09-05