sample2

The standard sample function in R samples from n numbers when x = n. This is
unwanted behavior when the size of the vector to sample from changes
dynamically. This is corrected in sample2

models

Implements maximum likelihood and bootstrap methods based on
the diversity-dependent birth-death process to test whether
speciation or extinction are diversity-dependent, under various
models including various types of key innovations.
See Etienne et al. 2012, Proc. Roy. Soc. B 279: 1300-1309,
<DOI:10.1098/rspb.2011.1439>,
Etienne & Haegeman 2012, Am. Nat. 180: E75-E89,
<DOI:10.1086/667574>,
Etienne et al. 2016. Meth. Ecol. Evol. 7: 1092-1099,
<DOI:10.1111/2041-210X.12565> and
Laudanno et al. 2021. Syst. Biol. 70: 389–407,
<DOI:10.1093/sysbio/syaa048>.
Also contains functions to simulate the diversity-dependent
process.

Rampal Etienne

Diversity-Dependent Diversification

Rampal S. Etienne

Bart Haegeman

Hanno Hildenbrandt

Giovanni Laudanno

sample2 function

<dl><dt>x</dt>
<dd>A vector of one or more elements</dd>
<dt>size</dt>
<dd>A non-negative integer giving the number of items to choose.</dd>
<dt>replace</dt>
<dd>Should sampling be with replacement?</dd>
<dt>prob</dt>
<dd>A vector of probability weights for obtaining the elements of
the vector being sampled.</dd></dl>

Arguments

Author

Takes samples in the usual manner — sample2

<dl>

<dt>x</dt>
<dd>A vector of one or more elements</dd>


<dt>size</dt>
<dd>A non-negative integer giving the number of items to choose.</dd>


<dt>replace</dt>
<dd>Should sampling be with replacement?</dd>


<dt>prob</dt>
<dd>A vector of probability weights for obtaining the elements of
the vector being sampled.</dd>

</dl>

sample2: Takes samples in the usual manner

Description

Usage

Value

Arguments

Author

Examples