raimer: performs Amplified, Initially Marginal, Eigenvector...
In dajmcdon/aimer: Amplified, Initially Marginal, Eigenvector Regression
Description
Usage
Arguments
Value
Description
performs Amplified, Initially Marginal, Eigenvector Regression (AIMER) for fixed t, b, and d
Usage
1
raimer(X, y, nCovs, nCovsSelect, nComps)
Arguments
X
required, design matrix with dimension (n, p).
y
required, response vector with dimension n.
nCovs
required, number of highest marginally correlated covariates to use.
nCovsSelect
required, desired number of non-zero coefficients.
nComps
required, number of principal components.
Value
coefficient vector of length p.
dajmcdon/aimer documentation built on May 6, 2019, 1:31 a.m.
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.
Description Usage Arguments Value
Description
performs Amplified, Initially Marginal, Eigenvector Regression (AIMER) for fixed t, b, and d
Usage
1 | raimer(X, y, nCovs, nCovsSelect, nComps)
|
Arguments
X |
required, design matrix with dimension (n, p). |
y |
required, response vector with dimension n. |
nCovs |
required, number of highest marginally correlated covariates to use. |
nCovsSelect |
required, desired number of non-zero coefficients. |
nComps |
required, number of principal components. |
Value
coefficient vector of length p.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.