sum_log_probs

Calculate sum of log probabilities on log scale without over/under-flow

Similarity regression,
evaluating the probability of association between sets of ontological terms
and binary response vector. A no-association model is compared with one in which
the log odds of a true response is linked to the semantic similarity
between terms and a latent characteristic ontological profile - 'Phenotype Similarity Regression for Identifying the Genetic Determinants of Rare Diseases', Greene et al 2016 <doi:10.1016/j.ajhg.2016.01.008>.

Daniel Greene

SimReg

Similarity Regression

sum_log_probs function

<dl><dt>log_probs</dt>
<dd>Numeric vector of probabilities on log scale.</dd></dl>

Arguments

Calculate sum of log probabilities on log scale without over/under-flow — sum_log_probs

<dl>

<dt>log_probs</dt>
<dd>Numeric vector of probabilities on log scale.</dd>

</dl>

sum_log_probs: Calculate sum of log probabilities on log scale without over/under-flow

Description

Usage

Value

Arguments