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GPEMR (version 0.1.0)

Growth Parameter Estimation Method

Description

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 (). An interactive web application is also available at [GPEMR Web App]().

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Version

Install

install.packages('GPEMR')

Monthly Downloads

153

Version

0.1.0

License

MIT + file LICENSE

Maintainer

Ruqaiya Shaikh

Last Published

September 4th, 2024

Functions in GPEMR (0.1.0)

real_data

Real Data Analysis with Model Fitting and Visualization
p_value_calc

P value calculation function for models used in comparison_plot() function
simulated_function

Simulate and Estimate Parameters of Growth Models
comparison_plot

Comparison Plot for p-values Across Growth Models