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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:41b86f646a. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win | OK | Nov 04 2024 |
R-4.5-linux | OK | Nov 04 2024 |
R-4.4-win | OK | Nov 04 2024 |
R-4.4-mac | OK | Nov 04 2024 |
R-4.3-win | OK | Nov 04 2024 |
R-4.3-mac | OK | Nov 04 2024 |
Exports:comparison_plotp_value_calcreal_datasimulated_function
Dependencies:mvtnorm
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Comparison Plot for p-values Across Growth Models | comparison_plot |
P value calculation function for models used in comparison_plot() function | p_value_calc |
Real Data Analysis with Model Fitting and Visualization | real_data |
Simulate and Estimate Parameters of Growth Models | simulated_function |