fancyPVAmodel

object

initial

Integer, <code>1</code> = model type is printed, <code>2</code> = data info is printed
<code>1:2</code> = both are printed.

part

This function prints the fancy model names in summaries.

 utils

Likelihood based population viability analysis in the
presence of observation error and missing data.
The package can be used to fit, compare, predict,
and forecast various growth model types using data cloning.

Peter Solymos

PVAClone

Population Viability Analysis with Data Cloning

fancyPVAmodel function

<dl> <dt>object</dt>
<dd>A fitted 'pva' object.</dd> <dt>initial</dt>
<dd>A fancy header for the fancy output.</dd> <dt>part</dt>
<dd>Integer, <code>1</code> = model type is printed, <code>2</code> = data info is printed
<code>1:2</code> = both are printed.</dd></dl>

Arguments

Author

Print fancy model names in summaries — fancyPVAmodel

<dl>

 <dt>object</dt>
<dd>A fitted 'pva' object.</dd>

 <dt>initial</dt>
<dd>A fancy header for the fancy output.</dd>

 <dt>part</dt>
<dd>Integer, <code>1</code> = model type is printed, <code>2</code> = data info is printed
<code>1:2</code> = both are printed.</dd>

</dl>

Get 50% off unlimited learning

fancyPVAmodel: Print fancy model names in summaries

Description

Usage

Value

Arguments

Author