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Update README.md
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acp29 authored Jan 23, 2022
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Expand Up @@ -51,6 +51,7 @@ To install (or test) the statistics-bootstrap package at it's existing location
* `ibootci` calculates confidence intervals (calibrated) by iterated bootstrap resampling
* `ibootp` calculates a two-tailed *p*-value for hypothesized value of the statistic using bootstrap
* `bootnhst` calculates *p*-values by bootstrap null-hypothesis significance testing (two-tailed). This function can be used to compare 2 or more (independent) samples but it does not calculate confidence intervals.
* `bootanovan` calculates *p*-values for N-way, fixed effects ANOVA by bootstrapping the distribution of F-statistics under the null hypothesis. This function depends on the `anovan` function from the Statistics package in Octave, or the Statistics and Machine Learning toolbox in Matlab.
* `iboottest` is a convenience function that uses `ibootci` and `ibootp` to compute confidence intervals and *p*-values for the difference between two paired samples or between one sample and a population value (two-tailed)
* `iboottest2` is a convenience function that uses `ibootci` and `ibootp` to compute confidence intervals and *p*-values for the difference between two independent (i.e. unpaired) samples.
* `bootmode` uses bootstrap to evaluate the likely number of real modes in a distribution
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