fastLmPure {RcppBlaze}

linear model fitting function based on RcppBlaze

Description

fastLmPure provides the estimates of the linear model based on RcppBlaze.

Usage

fastLmPure(X, y, type)

Arguments

X

A model matrix.

y

A response vector.

type

A integer. 0 is QR solver, 1 is LDLT solver, 2 is LLT sovler and 3 is LU solver.

Details

fastLm estimates the linear model using the solve.

Value

A list containing coefficients, standard errors, rank of model matrix, degree of freedom of residuals, residuals, the standard deviation of random errors and fitted values.

Examples

# according to fastLm example in RcppArmadillo
data(trees, package="datasets")
flm <- fastLmPure(cbind(1, log(trees$Girth)), log(trees$Volume), 0)
print(flm)