Descriptive Interpretations of Confidence Intervals
person("Jim", "Vine", email = "code@jimvine.co.uk",
role = c("aut", "cre"))
Produces descriptive interpretations of confidence intervals.
Includes (extensible) support for various test types, specified as sets
of interpretations dependent on where the lower and upper confidence limits
sit.

Produces descriptive interpretations of confidence intervals.
Includes (extensible) support for various test types, specified as sets
of interpretations dependent on where the lower and upper confidence limits
sit. Provides plotting functions for graphical display of interpretations.

person(given = "Michael",
family = "Mayer",
role = c("aut", "cre"),
email = "mayermichael79@gmail.com")
Calculates classic and/or bootstrap confidence
intervals for many parameters such as the population mean, variance,
interquartile range (IQR), median absolute deviation (MAD), skewness,
kurtosis, Cramer's V, R-squared, quantiles (incl. median),
proportions, different types of correlation measures, difference in
means, quantiles and medians. Many of the classic confidence intervals
are described in Smithson, M. (2003, ISBN: 978-0761924999). Bootstrap
confidence intervals are calculated with the R package 'boot'. Both
one- and two-sided intervals are supported.

Calculates classic and/or bootstrap confidence
intervals for many parameters such as the population mean, variance,
interquartile range (IQR), median absolute deviation (MAD), skewness,
kurtosis, Cramer's V, odds ratio, R-squared, quantiles (incl. median),
proportions, different types of correlation measures, difference in
means, quantiles and medians. Many of the classic confidence intervals
are described in Smithson, M. (2003, ISBN: 978-0761924999). Bootstrap
confidence intervals are calculated with the R package 'boot'. Both
one- and two-sided intervals are supported.

Calculates classic and/or bootstrap confidence intervals for
many parameters such as the population mean, variance, interquartile
range (IQR), median absolute deviation (MAD), skewness, kurtosis,
Cramer's V, odds ratio, R-squared, quantiles (incl. median),
proportions, different types of correlation measures, difference in
means, quantiles and medians. Many of the classic confidence intervals
are described in Smithson, M. (2003, ISBN: 978-0761924999). Bootstrap
confidence intervals are calculated with the R package 'boot'. Both
one- and two-sided intervals are supported.