sample.from.model: Sample from a structured GPLVM model
In mattdneal/GPLVM: Gaussian Process Latent Variable Models
Description
Usage
Arguments
Examples
Description
Sample from a structured GPLVM model
Usage
1
sample.from.model(Z, nrow.X, K_S, K_Z)
Arguments
K_Z
Examples
1
2
3
4
5
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7
Z <- rnorm(50, 2)
Z <- c(Z, rnorm(50, -2))
Z <- cbind(Z, rnorm(100))
K_Z <- GPLVM:::gplvm.SE(Z, 1, 1, 0)
K_S <- GPLVM:::structured.kernel.Matrix(50, 50, c(10,10), 1)
K_S <- K_S - Diagonal(nrow(K_S))
X <- sample.from.model(Z, 50, K_S, K_Z)
mattdneal/GPLVM documentation built on May 7, 2019, 1:26 p.m.
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Description Usage Arguments Examples
Description
Sample from a structured GPLVM model
Usage
1 | sample.from.model(Z, nrow.X, K_S, K_Z)
|
Arguments
K_Z |
Examples
1 2 3 4 5 6 7 | Z <- rnorm(50, 2)
Z <- c(Z, rnorm(50, -2))
Z <- cbind(Z, rnorm(100))
K_Z <- GPLVM:::gplvm.SE(Z, 1, 1, 0)
K_S <- GPLVM:::structured.kernel.Matrix(50, 50, c(10,10), 1)
K_S <- K_S - Diagonal(nrow(K_S))
X <- sample.from.model(Z, 50, K_S, K_Z)
|
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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