conf | R Documentation |

Enables:

confidence region plots in two-dimensions corresponding to a user given dataset, level of significance, and parametric probability distribution (supported distribution suffixes: cauchy, gamma, invgauss, lnorm, llogis, logis, norm, unif, weibull),

coverage simulations (if a point of interest is within or outside of a confidence region boundary) for either random samples drawn from a user-specified parametric distribution or for a user-specified dataset and point of interest,

calculating confidence intervals and the associated actual coverage for binomial proportions, and

calculating the support values and the probability mass function of the Kaplan-Meier product-limit estimator.

**Request from authors**: Please properly cite any use of this package and/or its algorithms,
which are detailed in the corresponding publication by Weld et al. (2018)
<doi:10.1080/00031305.2018.1564696>, Park and Leemis (2019) <doi:10.1002/sim.8189>,
Feng et al. (2022) <doi:10.1007/s00180-021-01183-3>, and Qin et al. (2023)
<doi:10.1080/00031305.2022.2070279>. Additionally, we welcome and appreciate your feedback and
insights as to how this resource is being leveraged to improve whatever it is you do. Please
include your name and academic and/or business affiliation in your correspondence.

This package includes the functions:

confidence region plots:

`crplot`

,confidence region coverage analysis:

`coversim`

,confidence intervals for binomial proportions:

`binomTest`

,actual coverage calculation for binomial proportions:

`binomTestCoverage`

,actual coverage plots for binomial proportions:

`binomTestCoveragePlot`

, andensemble confidence intervals for binomial proportions:

`binomTestEnsemble`

.minimum root mean square confidence intervals for binomial proportions:

`binomTestMSE`

Kaplan-Meier product-limit estimator support values:

`km.support`

enumeration of Kaplan-Meier product-limit estimator outcomes:

`km.outcomes`

probability mass function of the Kaplan-Meier product-limit estimator:

`km.pmf`

probability mass functions of the Kaplan-Meier product-limit estimator:

`km.surv`

The CRAN website https://CRAN.R-project.org/package=conf contains links for vignettes on the
`crplot`

, `coversim`

, `km.outcomes`

, `km.pmf`

, `km.support`

,
and `km.surv`

functions.

The lead author thanks The Omar Bradley Fellowship for Research in Mathematics for funding that partially supported this work.

Christopher Weld, Kexin Feng, Hayeon Park, Yuxin Qin, Heather Sasinowska, Larry Leemis

Maintainer: Christopher Weld <ceweld241@gmail.com>

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