mols.coefs: mols.coefs
In PfaffLab/mwlsr: Multiple Weighted Least Squares Regression
Description
Usage
Arguments
Value
Description
Multiple ordinary least squares coefficients. Used interally by
mwlsr to compute coefficients without weights.
Usage
1
mols.coefs(x, y, method = c("chol", "ginv", "svd", "qr"), tol = 1e-07)
Arguments
x
Design matrix
y
Response matrix
method
Coefficient calculation method. chol is the fastest
and svd is said to be the most reliable but maybe the slowest.
tol
Tolerance setting for the svd method.
Value
Matrix of fit coefficients.
PfaffLab/mwlsr documentation built on May 12, 2019, 5:22 p.m.
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Description Usage Arguments Value
Description
Multiple ordinary least squares coefficients. Used interally by mwlsr to compute coefficients without weights.
Usage
1 | mols.coefs(x, y, method = c("chol", "ginv", "svd", "qr"), tol = 1e-07)
|
Arguments
x |
Design matrix |
y |
Response matrix |
method |
Coefficient calculation method. |
tol |
Tolerance setting for the |
Value
Matrix of fit coefficients.
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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