optR: Optimization Toolbox for Solving Linear Systems
Version 1.2.5

Solves linear systems of form Ax=b via Gauss elimination, LU decomposition, Gauss-Seidel, Conjugate Gradient Method (CGM) and Cholesky methods.

Browse man pages Browse package API and functions Browse package files

AuthorPrakash (PKS Prakash) <prakash2@uwalumni.com>
Date of publication2016-11-29 15:08:40
MaintainerPrakash <prakash2@uwalumni.com>
LicenseGPL (>= 2)
Version1.2.5
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("optR")

Man pages

cgm: Optimization & estimation based on Conjugate Gradient Method
choleskiDecomposition: Function for Choleski Decomposition
choleskilm: Function fits linear model using Choleski Decomposition
forwardsubsitution.optR: Function to solve linear system using forward substitution
gaussSeidel: Gauss-Seidel based Optimization & estimation
hatMatrix: Function determines the Hat matrix or projection matrix for...
inv.optR: Invert a matrix using LU decomposition
jacobian: Function to evaluate jacobian matrix from functions
LU.decompose: LU decomposition
LU.optR: Solving system of equations using LU decomposition
LUsplit: Function to extract Lower and Upper matrix from LU...
machinePrecision: Function to address machine precision error
newtonRapson: Function for Newton Rapson roots for given equations
nonDiagMultipication: Non-diagnoal multipication
opt.matrix.reorder: Function to Re-order the matrix to make dominant diagnals
optR: Optimization & predictive modelling Toolsets
optR.backsubsitution: Function to solve linear system using backsubsitution
optR.default: Optimization & predictive modelling Toolsets
optR.fit: Fitter function for Linear/Non-linear system with form Ax=b
optR.formula: Optimization & predictive modelling Toolsets
optRFun: Function based optimization module
optRFun.newtonRapson: Function based optimization module
optR.gauss: gauss to solve linear systems
optR.multiplyfactor: Function to estimate lambda
predict.optR: Prediction function based on optR class
print.optR: print coefficients for optR class
summary.optR: Generate Summary for optR class

Functions

LU.decompose Man page Source code
LU.optR Man page Source code
LUsplit Man page Source code
assign.values Source code
cgm Man page Source code
choleskiDecomposition Man page Source code
choleskilm Man page Source code
forwardsubsitution.Cholesky Source code
forwardsubsitution.optR Man page Source code
gaussSeidel Man page Source code
hatMatrix Man page Source code
inv.optR Man page Source code
jacobian Man page Source code
machinePrecision Man page Source code
newtonRapson Man page Source code
nonDiagMultipication Man page Source code
onAttach Source code
opt.matrix.reorder Man page Source code
optR Man page Source code
optR.backsubsitution Man page Source code
optR.default Man page Source code
optR.fit Man page Source code
optR.formula Man page Source code
optR.gauss Man page Source code
optR.multiplyfactor Man page Source code
optRFun Man page Source code
optRFun.newtonRapson Man page Source code
predict.optR Man page Source code
print.optR Man page Source code
summary.optR Man page Source code
updateWeightsobs Source code

Files

NAMESPACE
R
R/optR.R
R/cgm.R
R/choleskiDecomposition.R
R/optR_fit.R
R/inv_optR.R
R/predict_optR.R
R/hatMatrix.R
R/gaussSeidel.R
R/gauss.R
R/forwardsubsitution_Cholesky.R
R/solveMethods.R
R/newtonRapshon.R
R/optRFun.R
R/updateWeightsobs.R
R/LU.R
MD5
DESCRIPTION
man
man/optRFun.newtonRapson.Rd
man/cgm.Rd
man/optR.default.Rd
man/optR.multiplyfactor.Rd
man/opt.matrix.reorder.Rd
man/summary.optR.Rd
man/LU.optR.Rd
man/jacobian.Rd
man/LUsplit.Rd
man/choleskiDecomposition.Rd
man/forwardsubsitution.optR.Rd
man/machinePrecision.Rd
man/optRFun.Rd
man/predict.optR.Rd
man/optR.gauss.Rd
man/optR.backsubsitution.Rd
man/gaussSeidel.Rd
man/optR.Rd
man/optR.formula.Rd
man/print.optR.Rd
man/LU.decompose.Rd
man/choleskilm.Rd
man/optR.fit.Rd
man/inv.optR.Rd
man/hatMatrix.Rd
man/nonDiagMultipication.Rd
man/newtonRapson.Rd
optR documentation built on May 29, 2017, 2:10 p.m.