weight_design_band: Fast computation of weighted design matrix for generalized...
In aspline: Spline Regression with Adaptive Knot Selection
weight_design_band R Documentation
Fast computation of weighted design matrix for generalized linear model
Description
Fast computation of weighted design matrix for generalized linear model
Usage
weight_design_band(w, alpha, B)
Arguments
w
Vector of weights.
alpha
Vector of indexes representing the start of blocks of the design matrix, as given by block_design.
B
Design matrix in compressed block format, as given by block_design.
Value
Weighted design matrix X^T diag(w) X where X is the design matrix and W = diag(w) is
a diagonal matrix of weights.
aspline documentation built on June 9, 2022, 9:05 a.m.
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| weight_design_band | R Documentation |
Fast computation of weighted design matrix for generalized linear model
Description
Fast computation of weighted design matrix for generalized linear model
Usage
weight_design_band(w, alpha, B)
Arguments
w |
Vector of weights. |
alpha |
Vector of indexes representing the start of blocks of the design matrix, as given by block_design. |
B |
Design matrix in compressed block format, as given by block_design. |
Value
Weighted design matrix X^T diag(w) X where X is the design matrix and W = diag(w) is
a diagonal matrix of weights.
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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