density_2d_normal: Density for bivariate Gaussian stochastic process on an...
In davidbolin/ngme: Linear Mixed Effects Models With Flexible Distributions
density_2d_normal R Documentation
Density for bivariate Gaussian stochastic process on an interval
computes density for normal univarate random fields in 2d
Description
Density for bivariate Gaussian stochastic process on an interval
computes density for normal univarate random fields in 2d
Usage
density_2d_normal(interv, n2, param, maternParam)
Arguments
interv
- start and endpoint to evalute density
n2
- number of grid points in the interval
param
- (2 x 1) mu, sigma
maternParam
- (3 x 1) nu, tau, kappa
davidbolin/ngme documentation built on Dec. 5, 2023, 11:48 p.m.
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| density_2d_normal | R Documentation |
Density for bivariate Gaussian stochastic process on an interval computes density for normal univarate random fields in 2d
Description
Density for bivariate Gaussian stochastic process on an interval computes density for normal univarate random fields in 2d
Usage
density_2d_normal(interv, n2, param, maternParam)
Arguments
interv |
- start and endpoint to evalute density |
n2 |
- number of grid points in the interval |
param |
- (2 x 1) mu, sigma |
maternParam |
- (3 x 1) nu, tau, kappa |
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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