papprox_unif {sdPrior} | R Documentation |
Compute Cumulative Distribution Function of Approximated (Differentiably) Uniform Distribution.
Description
Compute Cumulative Distribution Function of Approximated (Differentiably) Uniform Distribution.
Usage
papprox_unif(x, scale, tildec = 13.86294)
Arguments
x |
denotes the argument of cumulative distribution function |
scale |
the scale parameter originally defining the upper bound of the uniform distribution. |
tildec |
denotes the ratio between scale parameter |
Details
The cumulative distribution function of dapprox_unif
is given by
(1/(log(1+exp(-\tilde{c}))+\tilde{c}))*(\tilde{c}*(\tau^2)^(1/2)/\theta-log(exp((\tau^2)^(1/2)*\tilde{c}/\theta)+exp(\tilde{c})))
\tilde{c}
is chosen such that P(\tau^2<=\theta)>=0.95
.
Value
the cumulative distribution function.
Author(s)
Nadja Klein
References
Nadja Klein and Thomas Kneib (2015). Scale-Dependent Priors for Variance Parameters in Structured Additive Distributional Regression. Working Paper.