nncg: Non-negative conjugate gradient algorithm
In Rommelio-coli/SSPA: General Sample Size and Power Analysis for Microarray and Next-Generation Sequencing Data
Description
Usage
Arguments
Details
Value
Author(s)
View source: R/conjugategradient.R
Description
Non-negative conjugate gradient algorithm
Usage
1
Arguments
A
the A matrix of the system: Ax = b.
b
the b vector of the system: Ax = b.
type
for the conjugate-gradients method. Takes value '1' for the Fletcher-Reeves update, '2' for Polak-Ribiere and '3' for Beale-Sorenson.
trace
tracing information on the progress of the optimization is produced.
Details
C-implementation, details follow.
Value
list containg regression coefficients and some additional information.
Author(s)
Maarten van Iterson
Rommelio-coli/SSPA documentation built on Dec. 18, 2021, 11 a.m.
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Description Usage Arguments Details Value Author(s)
View source: R/conjugategradient.R
Description
Non-negative conjugate gradient algorithm
Usage
1 |
Arguments
A |
the A matrix of the system: Ax = b. |
b |
the b vector of the system: Ax = b. |
type |
for the conjugate-gradients method. Takes value '1' for the Fletcher-Reeves update, '2' for Polak-Ribiere and '3' for Beale-Sorenson. |
trace |
tracing information on the progress of the optimization is produced. |
Details
C-implementation, details follow.
Value
list containg regression coefficients and some additional information.
Author(s)
Maarten van Iterson
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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