get.compare.fit: Helper function, please do not use
In CSUV: Combined Selection and Uncertainty Visualiser (CSUV)
Description
Usage
Arguments
Value
View source: R/compare_method.r
Description
Helper function, please do not use
Usage
1
get.compare.fit(x, y, intercept, method.names, current.compare.fit = NULL)
Arguments
x
covariates (n times p matrix, n: number of entries, p: number of covariates)
y
response (vector with n entries)
intercept
TRUE to fit the data with an intercept, FALSE to fit the data without an intercept
method.names
vector of method names to be used in cross validation. Choose among "lasso", "elastic", "relaxo", "mcp" and "scad". Default is to use all methods listed above
current.compare.fit
(optional)
Value
a list which includes the estimated coefficients (est.b) and the corresponding ordinary least square fit from stats::lm()
CSUV documentation built on Oct. 23, 2020, 5:49 p.m.
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Description Usage Arguments Value
View source: R/compare_method.r
Description
Helper function, please do not use
Usage
1 | get.compare.fit(x, y, intercept, method.names, current.compare.fit = NULL)
|
Arguments
x |
covariates (n times p matrix, n: number of entries, p: number of covariates) |
y |
response (vector with n entries) |
intercept |
TRUE to fit the data with an intercept, FALSE to fit the data without an intercept |
method.names |
vector of method names to be used in cross validation. Choose among "lasso", "elastic", "relaxo", "mcp" and "scad". Default is to use all methods listed above |
current.compare.fit |
(optional) |
Value
a list which includes the estimated coefficients (est.b) and the corresponding ordinary least square fit from stats::lm()
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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