Bayesian Model Selection under Constraints

Documentation for package ‘BMSC’ version 0.1.1

addInteractionToVars	Add interactions of a specific order to a vector of variables
addPowToVars	Add exponent to a vector of variables
ConstrainedLinReg	S4 class for constrained linear regression models
ConstrainedLinReg-class	S4 class for constrained linear regression models
constrSelEst	Model selection algorithm for constrained estimation
createFormula	Create a formula with interactions and polynomials up to a desired order
createFormulaInternal	Create formula with interactions and polynomials if all checks in 'createFormula' have passed
extractVarname	Extract variable name from polynomial expression
getBestModel	Get Best Model after Models Selection
getBetaMatrix	Extract beta matrix from 'ConstrainedLinReg' model
handleMissingData	Exclude rows with missing values
makeInteractions	Add all interactions up to a desired order
makePoly	Create polynomial of degree 'maxExponent' from variable names
plotModelFit	Plot errors of all models
plotModels	Plot model errors with errorbars
predict-method	Compute predictions from constraint estimation model
prepColorVec	Prepare colour vector
prepDatForPredict	Exclude rows with missing data on predictor variables
prepModelNames	Extract model names from model objects
prepPlotData	Prepare data to plot model fit
print.ConstrainedLinReg	Print constraint estimation model
show-method	Print constraint estimation model
sortAndPaste	Sort a vector and collapse elements together using ":"
tryAsFormula	Turn character vector into formula, return error if not possible