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R
Boom

uniform.prior

Uniform prior distribution

Description

Specifies a uniform prior distribution on a real-valued scalar parameter.

Usage

UniformPrior(lo = 0, hi = 1, initial.value = NULL)

Arguments

lo

The lower limit of support.
hi

The upper limit of support.
initial.value

The initial value of the parameter in question to use in the MCMC algorithm. If NULL then the mean (lo + hi)/2 is used.

Author(s)

References

Gelman, Carlin, Stern, Rubin (2003), "Bayesian Data Analysis", Chapman and Hall.

Boom

Bayesian Object Oriented Modeling

v0.9.7
LGPL-2.1 | file LICENSE
Authors
Steven L. Scott is the sole author and creator of the BOOM project. Some code in the BOOM libraries has been modified from other open source projects. These include Cephes (obtained from Netlib, written by Stephen L. Moshier), NEWUOA (M.J.D Powell, obtained from Powell's web site), and a modified version of the R math libraries (R core development team). Original copyright notices have been maintained in all source files. In these cases, copyright claimed by Steven L. Scott is limited to modifications made to the original code. Google claims copyright for code written while Steven L. Scott was employed at Google from 2008 - 2018, but BOOM is not an officially supported Google project.
Initial release
2021-02-15

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