pltprior: A function to visualize the shape of the prior on the weights...

In RCASPAR: A package for survival time prediction based on a piecewise baseline hazard Cox regression model.

Description

This function helps visualize the effect of the parameters q and s on the prior distribution used on the weights.

Usage

pltprior(q, s)

Arguments

q	One of the two parameters used to determine the prior on the weights.
s	The second of two parameters used to determine the prior on the weights.

Details

The prior assumed on the weights in the objective function takes on the following formulation:

[L_q(β; q, s)= \frac{\frac{{q^{(q-1)}} {q}} {2sΓ(\frac{{1}{q}})}} exp(\frac{{-1}{qs^q}} |\emph{weights}|^q)

Value

A 3D plot of the value of the prior taking into consideration only two weights

Author(s)

Douaa Mugahid

References

Mazur J., et al. Reconstructing nonlinear dynamic models of gene regulation using stochastic sampling. BMC Bioinformatics 2009;10;448

See Also

pltgamma

Examples

pltprior(q=1,s=1)

RCASPAR documentation built on Nov. 8, 2020, 6:56 p.m.