R practice for ecology lessons

Researches under classical statistics often relies on precise, determinate data to estimate population parameters. However, in certain situations, data may be indeterminate or imprecise. Neutrosophic statistics, a generalization of classical statistics, has been introduced to address these challenges by handling vague, indeterminate, and uncertain information effectively. Several estimators, including ratio estimators, have been proposed in neutrosophic statistics. These ratio estimators perform well when the correlation between the auxiliary and study variables is strong. However, in this study, regression-type estimators were developed, demonstrating superior performance in cases where the correlation between the study and auxiliary variables is high, weak, or moderate.The R package is designed for neutrosophic regression type estimator to estimate the Finite Population Parameters. This package provides three different function i.e. compute_all_metrics, inputs and calculate_all_mse_neutrosophic. It provide neutrosophic descriptive statistics. Users can input values for population size as well as sample size for neutrosophic population at run time . In this package we can obtain the mse value for neutrosophic ratio-type estimators, neutrosophic exponential ratio-type estimator and neutrosophic regression type estimator.