approximate_fs: Approximate forward stepwise selection
In stephenbates19/logratiolasso: Tools For Large Log Ratio Models
Description
Usage
Arguments
Value
Description
Fits the approximate forward stepwise procedure.
Usage
1
approximate_fs(x, y, k_max = 10)
Arguments
x
The input matrix. Assumed to be the logarithmic transform of positive raw inputs.
y
The real-valued response.
k_max
The largest number of log-ratios to consider.
Value
theta The k_max by k_max upper triangular matrix of coefficient for each log-ratio at each step.
ratios A 2 by k_max grid giving the selected ratios
beta A p by k_max matrix where column j gives the coefficient value after j steps.
intercept The intercept for each model.
stephenbates19/logratiolasso documentation built on May 18, 2019, 4:52 p.m.
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Description Usage Arguments Value
Description
Fits the approximate forward stepwise procedure.
Usage
1 | approximate_fs(x, y, k_max = 10)
|
Arguments
x |
The input matrix. Assumed to be the logarithmic transform of positive raw inputs. |
y |
The real-valued response. |
k_max |
The largest number of log-ratios to consider. |
Value
theta The k_max by k_max upper triangular matrix of coefficient for each log-ratio at each step.
ratios A 2 by k_max grid giving the selected ratios
beta A p by k_max matrix where column j gives the coefficient value after j steps.
intercept The intercept for each model.
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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