log_prior: User defined log prior
In pauwels2014: Bayesian Experimental Design for Systems Biology.
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
User defined log prior based on the parameter value only.
Usage
1
log_prior(theta)
Arguments
theta
A parameter named numeric vector.
Details
The default is a gaussian prior with large covariance matrix. This is actually a prior on the parameters in log space. The prior can can thus be thought of as a log normal prior.
Value
A numerical value
Author(s)
Edouard Pauwels
Examples
1
2
Example output
Loading required package: deSolve
Loading required package: ggplot2
[1] -2.302606
pauwels2014 documentation built on May 1, 2019, 6:29 p.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
User defined log prior based on the parameter value only.
Usage
1 | log_prior(theta)
|
Arguments
theta |
A parameter named numeric vector. |
Details
The default is a gaussian prior with large covariance matrix. This is actually a prior on the parameters in log space. The prior can can thus be thought of as a log normal prior.
Value
A numerical value
Author(s)
Edouard Pauwels
Examples
1 2 |
Example output
Loading required package: deSolve
Loading required package: ggplot2
[1] -2.302606
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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