GenStrucData_Count_latent: Generate count data
In DongyueXie/scca: Sparse Canonical Correlation Analysis - Intergrated Methods
Description
Generate count data using latent variable model
Usage
1
2
GenStrucData_Count_latent(u, v, n = 50, lambda_z = 10, theta = 0.01,
n_x = 1000, n_y = 1000)
Arguments
lambda_z:
poisson parameter of the latent variable z
theta:
oversidpersion parameter in DM model
n_y:
parameter n in DM model
n_x:
parameter n in DM model
u:
caonical coefficients for x
v:
canonical coefficients for y
n:
sample size
DongyueXie/scca documentation built on May 29, 2019, 2:37 p.m.
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Description
Generate count data using latent variable model
Usage
1 2 | GenStrucData_Count_latent(u, v, n = 50, lambda_z = 10, theta = 0.01,
n_x = 1000, n_y = 1000)
|
Arguments
lambda_z: |
poisson parameter of the latent variable z |
theta: |
oversidpersion parameter in DM model |
n_y: |
parameter n in DM model |
n_x: |
parameter n in DM model |
u: |
caonical coefficients for x |
v: |
canonical coefficients for y |
n: |
sample size |
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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