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-4.4-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'))

Peer review:

On CRAN:

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

4 exports 0.09 score 1 dependencies

Last updated 13 days agofrom:41b86f646a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-winOKSep 05 2024
R-4.5-linuxOKSep 05 2024
R-4.4-winOKSep 05 2024
R-4.4-macOKSep 05 2024
R-4.3-winOKSep 05 2024
R-4.3-macOKSep 05 2024

Exports:comparison_plotp_value_calcreal_datasimulated_function

Dependencies:mvtnorm

GPEMR

Rendered fromGPEMR.Rmdusingknitr::rmarkdownon Sep 05 2024.

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