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Title: All-in-One Chi Distribution CI
Version: 0.1.1
Maintainer: David Reese <reesedavid132@gmail.com>
Description: Computes confidence intervals for variance using the Chi-Square distribution, without requiring raw data. Wikipedia (2025) https://en.wikipedia.org/wiki/Chi-squared_distribution. 'All-in-One Chi Distribution CI' provides functions to calculate confidence intervals for the population variance based on a chi-squared distribution, utilizing a sample variance and sample size. It offers only a simple all-in-one method for quick calculations to find the CI for Chi Distribution.
License: MIT + file LICENSE
Imports: stats
Suggests: testthat
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-04-03 20:28:16 UTC; David
Author: David Reese [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-07 16:20:13 UTC

Compute Confidence Interval for Variance Without Raw Data

Description

This function calculates the confidence interval for variance when only + the sample variance and sample size are known.

Usage

chi_var_ci_no_data(s2_given, n_given, conf_level)

Arguments

s2_given

Numeric. The sample variance.

n_given

Integer. The sample size.

conf_level

Numeric. The confidence level (e.g., 0.95 for 95% CI).

Value

A numeric vector with the lower and upper bounds of the confidence interval.

Examples

s2_given <- 21.5   # Sample variance
n_given <- 26      # Sample size
conf_level <- 0.98 # 98% confidence level
chi_var_ci_no_data(s2_given, n_given, conf_level)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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