simulate_latent_variable_data: Simulate data for CCA based on a latent variable model
In agisga/FDRcorrectedSCCA: FDR-Corrected Sparse Canonical Correlation Analysis
Description
Simulate data for CCA based on a latent variable model
Usage
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2
simulate_latent_variable_data(n_row, n_col_X, n_col_Y, n_signif_X, n_signif_Y,
noise_var = 1, shared_var_wthn = 0, shared_var_btwn = 1)
agisga/FDRcorrectedSCCA documentation built on May 20, 2019, 6:45 p.m.
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Description
Simulate data for CCA based on a latent variable model
Usage
1 2 | simulate_latent_variable_data(n_row, n_col_X, n_col_Y, n_signif_X, n_signif_Y,
noise_var = 1, shared_var_wthn = 0, shared_var_btwn = 1)
|
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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