integrate_density_log

<p>function to integrate over which must return the log(f)</p>

log_integrand

Lplower

Lpupper

<p>integrate density in logit space and split by component such
that the quantile function of each component is used. This
ensures that the R implementation of the quantile function is
always used.</p>

internal

Tool-set to support Bayesian evidence synthesis.  This
includes meta-analysis, (robust) prior derivation from historical
data, operating characteristics and analysis (1 and 2 sample
cases). Please refer to Neuenschwander et al. (2010)
<doi:10.1177/1740774509356002> and Schmidli et al. (2014)
<doi:10.1111/biom.12242> for details on the methodology.

Sebastian Weber

RBesT

R Bayesian Evidence Synthesis Tools

Novartis Pharma AG

Beat Neuenschwander

Heinz Schmidli

Baldur Magnusson

Yue Li

Satrajit Roychoudhury

Trustees of Columbia University

integrate_density_log function

internal function used for integration of densities which appears
to be much more stable from -Inf to +Inf in the logit space while
the density to be integrated recieves inputs from 0 to 1 such that
the inverse distribution function must be used. The integral solved
is int_x dmix(mix,x) integrand(x) where integrand must be given as
log and we integrate over the support of mix. — integrate_density_log

internal function used for integration of densities which appears
to be much more stable from -Inf to +Inf in the logit space while
the density to be integrated recieves inputs from 0 to 1 such that
the inverse distribution function must be used. The integral solved
is int_x dmix(mix,x) integrand(x) where integrand must be given as
log and we integrate over the support of mix.

Description

Usage

Arguments