.complementary_logprob

Given x and norm, this calculates log(1-sum(exp(x)))

internal

Provides methods to simulate and analyse the size and length
of branching processes with an arbitrary offspring distribution. These
can be used, for example, to analyse the distribution of chain sizes
or length of infectious disease outbreaks, as discussed in Farrington
et al. (2003) <doi:10.1093/biostatistics/4.2.279>.

James M. Azam

epichains

Simulating and Analysing Transmission Chain Statistics Using
Branching Process Models

Sebastian Funk

Flavio Finger

Zhian N. Kamvar

Hugo Gruson

Karim Mané

Pratik Gupte

Joshua W. Lambert

.complementary_logprob function

<dl><dt>x</dt>
<dd>A numeric vector of log-probabilities. Must be negative.</dd></dl>

Arguments

Author

Calculates the complementary log-probability — .complementary_logprob

<dl>

<dt>x</dt>
<dd>A numeric vector of log-probabilities. Must be negative.</dd>

</dl>

Calculates the complementary log-probability

.complementary_logprob: Calculates the complementary log-probability

Description

Usage

Value

Arguments

Author