Add confidence interval feature to cv function

[MaaniBeigy]

🚀 Feature Request

The result would be a dataframe, something like:

	est	lower	upper	description
kelley	57.774	41.287	97.894	cv with Kelley 95% CI
mckay	57.774	41.441	108.483	cv with McKay 95% CI
miller	57.774	34.053	81.495	cv with Miller 95% CI
vangel	57.774	41.264	105.426	cv with Vangel 95% CI
mahmoudvand_hassani	57.774	43.476	82.857	cv with Mahmoudvand-Hassani 95% CI
equal_tailed	57.774	43.937	84.383	cv with Equal-Tailed 95% CI
shortest_length	57.774	42.015	81.013	cv with Shortest-Length 95% CI
normal_approximation	57.774	44.533	85.272	cv with Normal Approximation 95% CI
norm	57.774	38.799	78.937	cv with Normal Approximation Bootstrap 95% CI
basic	57.774	35.055	78.167	cv with Basic Bootstrap 95% CI
perc	57.774	38.879	79.174	cv with Bootstrap Percentile 95% CI
bca	57.774	40.807	82.297	cv with Adjusted Bootstrap Percentile (BCa) 95% CI

🔈 Motivation

There are various methods for the calculation of confidence intervals (CI) for cv. All of them are fruitful and have particular use cases. Some of them are model-based hence their usage depends on the assumptions regarding the distribution of data. For sake of versatility, cover almost all of these methods.

📎 Additional context

reference