fastLmPure: linear model fitting function based on RcppBlaze
In RcppBlaze: 'Rcpp' Integration for the 'Blaze' High-Performance 'C++' Math Library
fastLmPure R Documentation
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)
RcppBlaze documentation built on May 29, 2024, 4:04 a.m.
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| fastLmPure | R Documentation |
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)
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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