exact_ind_mover_ci | R Documentation |
Square-and-Add or MOVER (Method of Variance Estimate Recovery) Confidence Interval Computes a (1 - alpha) * 100 independent proportions Based on exact binomial (Clopper-Pearson) confidence intervals for single proportions References: (1) Robert G. Newcombe. Confidence Intervals for Proportions and Related Measures of Effect Size. CRC Press. 2013 (2) Zou, Huang, and Zhang. A note on confiddence interval estimation for a linear function of binomial proportions. Computational Statistics and Data Analysis. 2009
exact_ind_mover_ci(x1, N1, x2, N2, confidence_level = 0.95)
x1 |
Number of successes in group 1 |
N1 |
Number of trials in group 1 |
x2 |
Number of successes in group 2 |
N2 |
Number of trials in group 2 |
confidence_level |
Confidence level |
a list with lower bound, point estimate, and upper bound.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.