R: Optimization Toolbox for Solving Linear Systems

# Optimization Toolbox for Solving Linear Systems

## Documentation for package ‘optR’ version 1.2.5

- DESCRIPTION file

## Help 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 given X
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 decomposition
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
optR.gauss | gauss to solve linear systems
optR.multiplyfactor | Function to estimate lambda
optRFun | Function based optimization module
optRFun.newtonRapson | Function based optimization module
predict.optR | Prediction function based on optR class
print.optR | print coefficients for optR class
summary.optR | Generate Summary for optR class