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

## Description

Calculate individual model summary statistics or use the wrapper, `tdMoments()`, to calculate all model summary statistics.

## 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` `numeric(1)`. Parameters of the Franco distribution. `...` Additional arguments to be passed to `stats::integrate()`. `upper` `numeric(1)`. The upper limit of integration. Defaults to `t * 10`. Can be infinite for all moment functions except for entropy. `alternative` `logical(1)`. Whether to use the alternative calculation method (`TRUE`) or not (default: `FALSE`).

## Value

For the individual summary statistic functions, a single `numeric`; for `tdMoments()`, a single row `data.frame` of `numerics` containing all of the summary statistics as individual columns.

## 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 Aug. 27, 2020, 9:07 a.m.