YFromGamma_SPDE: YFromGamma_SPDE function
In bentaylor1/spatsurv: Bayesian Spatial Survival Analysis with Parametric Proportional Hazards Models
Description
Usage
Arguments
Value
References
Description
A function to go from Gamma to Y
Usage
1
YFromGamma_SPDE(gamma, U, mu)
Arguments
gamma
Gamma
U
upper Cholesky matrix
mu
the mean
Value
the value of Y for the given Gamma
References
Benjamin M. Taylor. Auxiliary Variable Markov Chain Monte Carlo for Spatial Survival and Geostatistical Models. Benjamin M. Taylor. Submitted. http://arxiv.org/abs/1501.01665
Finn Lindgren, Havard Rue, Johan Lindstrom. An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach. Journal of the Royal Statistical Society: Series B 73(4)
bentaylor1/spatsurv documentation built on May 12, 2019, 3:02 p.m.
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Description Usage Arguments Value References
Description
A function to go from Gamma to Y
Usage
1 | YFromGamma_SPDE(gamma, U, mu)
|
Arguments
gamma |
Gamma |
U |
upper Cholesky matrix |
mu |
the mean |
Value
the value of Y for the given Gamma
References
Benjamin M. Taylor. Auxiliary Variable Markov Chain Monte Carlo for Spatial Survival and Geostatistical Models. Benjamin M. Taylor. Submitted. http://arxiv.org/abs/1501.01665
Finn Lindgren, Havard Rue, Johan Lindstrom. An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach. Journal of the Royal Statistical Society: Series B 73(4)
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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