logmdigamma

The difference between the <code>log</code> and <code>digamma</code> functions.

math

A collection of algorithms and functions to aid statistical modeling. Includes limiting dilution analysis (aka ELDA), growth curve comparisons, mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Also includes advanced generalized linear model functions including Tweedie and Digamma distributional families, secure convergence and exact distributional calculations for unit deviances.

Gordon Smyth

statmod

Statistical Modeling

logmdigamma function

<dl> <dt>x</dt>
<dd>numeric vector or array of positive values. Negative or zero values will return <code>NA</code>.</dd></dl>

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Author

Log Minus Digamma Function — logmdigamma

<dl>

 <dt>x</dt>
<dd>numeric vector or array of positive values. Negative or zero values will return <code>NA</code>.</dd>

</dl>

logmdigamma: Log Minus Digamma Function

Description

Usage

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Author

Details

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See Also

Examples