slob_simulation: Multiple runs of the simulation for a single set of...
In StatsIMUWr/slobeC: What the package does (short line)
Description
Usage
Arguments
Value
Description
Multiple runs of the simulation for a single set of parameters
Usage
1
2
3
slob_simulation(num_iterations, num_observations, correlation_matrix,
signal, FDR = 0.1, tolerance = 1e-04, metrics = list(mse = mse, tp
= tp, fp = fp, pred_err = pred_error))
Arguments
num_iterations
Number of replications
num_observations
Number of observation in a data matrix
correlation_matrix
Object of type "cor_desc" specifying correlation
structure
signal
Object of class "signal" specifying the beta vector.
FDR
FDR level for SLOPE
tolerance
Tolerance to be used in admm algorithm
Value
A data frame of results
StatsIMUWr/slobeC documentation built on Oct. 31, 2019, 12:03 a.m.
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Description Usage Arguments Value
Description
Multiple runs of the simulation for a single set of parameters
Usage
1 2 3 | slob_simulation(num_iterations, num_observations, correlation_matrix,
signal, FDR = 0.1, tolerance = 1e-04, metrics = list(mse = mse, tp
= tp, fp = fp, pred_err = pred_error))
|
Arguments
num_iterations |
Number of replications |
num_observations |
Number of observation in a data matrix |
correlation_matrix |
Object of type "cor_desc" specifying correlation structure |
signal |
Object of class "signal" specifying the beta vector. |
FDR |
FDR level for SLOPE |
tolerance |
Tolerance to be used in admm algorithm |
Value
A data frame of results
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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