*Authors: Polina Proutskova and Mike Gruszczynski*

*Maintainer: Mike Gruszczynski*

This function implements Prof. Klaus Krippendorff's algorithm for bootstrapping the Krippendorff's alpha coefficient. It computes confidence values (reliability estimates) for the given probabilities.

Because Krippendorff's alpha has no *a priori* known distribution, deriving confidence intervals from alpha estimates requires bootstrap replicates to be generated. This package allows those replicates to be generated quickly and easily.

To install the package, use the `devtools`

package to install from Github:

```
devtools::install_github("mikegruz/kripp.boot")
library(kripp.boot)
```

```
kripp.boot(x, iter = 2000, probs = c(.025, .975),
method = c("nominal", "ordinal", "interval", "ratio"))
```

Where:

`x`

is a matrix corresponding to judges and columns corresponding to rated objects.

`iter`

is the number of bootstrap replicates to perform.

`probs`

is a vector of probabilities for which confidence values are computed.

`method`

is the metric used to calculate the difference function in computing alpha. Methods for nominal, ordinal, interval, and ratio data are currently implemented.

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