data.simu: Simulates observed data given the posterior, W, the block...
In kforthman/optmThrGFA: Optimize Thresholds for GFA.
Description
Usage
Arguments
Value
Description
Simulates observed data given the posterior, W, the block
assignments for each variable and the
number of observations, N.
Usage
1
data.simu(N, W_DxK, varIdx.by.block, sd.noise)
Arguments
N
sample size
W_DxK
a list of matrices with K x D_i dimension
varIdx.by.block
Specifies which variables are in which block. Must be input as a list where each element corresponds to the block number and contains a vector of indicies of the variables that belong to that block.
sd.noise
SD of random Gaussian noise in the observations.
Value
A list containing the following elements:
Y.list
A list where each element corresponds to a block. Each block contains the observed values of the variables in that block.
X
Contains the factor values of each observation.
kforthman/optmThrGFA documentation built on Sept. 3, 2021, 1:35 p.m.
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Description Usage Arguments Value
Description
Simulates observed data given the posterior, W, the block assignments for each variable and the number of observations, N.
Usage
1 | data.simu(N, W_DxK, varIdx.by.block, sd.noise)
|
Arguments
N |
sample size |
W_DxK |
a list of matrices with K x D_i dimension |
varIdx.by.block |
Specifies which variables are in which block. Must be input as a list where each element corresponds to the block number and contains a vector of indicies of the variables that belong to that block. |
sd.noise |
SD of random Gaussian noise in the observations. |
Value
A list containing the following elements:
Y.list |
A list where each element corresponds to a block. Each block contains the observed values of the variables in that block. |
X |
Contains the factor values of each observation. |
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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