# tdMoments: Calculate moments for the fitted timedist model In nlstimedist: Non-Linear Model Fitting of Time Distribution of Biological Phenomena

## Description

Individual functions are provided as well as a wrapper to calculate the moments for your fitted model.

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10 11``` ```tdMoments(r, c, t, ...) tdMean(r, c, t, upper = t * 10, ...) tdVariance(r, c, t, upper = t * 10, ...) tdSkew(r, c, t, upper = t * 10, ...) tdKurtosis(r, c, t, upper = t * 10, alternative = FALSE, ...) tdEntropy(r, c, t, upper = t * 10, ...) ```

## Arguments

 `r, c, t` Parameters of the Franco distribution `...` Additional arguments to be passed to `integrate` `upper` The upper limit of integration. Defaults to `t * 10`. Can be infinite for all moment functions except for entropy. `alternative` An alternative calculation method.

## Value

A single value, or in the case of `tdMoments`, a `data.frame` of values.

## Examples

 ```1 2 3 4 5 6 7 8``` ```tdMoments(r = 0.1, c = 0.5, t = 120) tdMean(r = 0.1, c = 0.5, t = 120) tdVariance(r = 0.1, c = 0.5, t = 120) tdSkew(r = 0.1, c = 0.5, t = 120) tdKurtosis(r = 0.1, c = 0.5, t = 120) tdKurtosis(r = 0.1, c = 0.5, t = 120, alternative = TRUE) tdEntropy(r = 0.1, c = 0.5, t = 120) ```

nlstimedist documentation built on June 6, 2017, 5:04 p.m.