NEWS.md

In dygobeng/nterval: Calculate Sample Size for Population Coverage Intervals

nterval 0.1.1

• Updated estimate_reliability() function to sample from PDF of sampling distributions for sample mean and sample variance. This allows function to skip the time-consuming process of generating random Normal samples and significantly improves function performance.

• Updated find_n_ksigma() to remove need for n_search option given performance improvement. Now, one only needs to define n_sim for all estimation of reliability.

nterval 0.1.0

Includes the following functions:

• find_n_ksigma() uses a bisection search algorithm to identify the minimum required sample size to calculate a parametric sample interval for a Normally-distributed population (i.e., "k-sigma" interval) with coverage that falls within pre-specified proximity limits with the desired reliability.

• estimate_reliability() is a helper function called by find_n_ksigma() that uses Monte Carlo simulation to estimate the proportion of k-sigma interval coverages that will fall within the proximity limits for a given sample size.

• plot_reliability() is a helper function called by find_n_ksigma() that plots the simulated sampling distribution for k-sigma interval coverages.

• Additional utility functions.

dygobeng/nterval documentation built on March 22, 2022, 6:40 p.m.