@@ -29,7 +29,7 @@ fastLm(X, \dots)
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The \code {fastLmPure } function provides a reference use case of the \code {Armadillo }
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library via the wrapper functions in the \pkg {RcppArmadillo } package.
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The \code {fastLm } function provides a more standard implementation of
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a linear model fit , offering both a default and a formula interface as
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well as \code {print }, \code {summary } and \code {predict } methods.
@@ -57,13 +57,13 @@ fastLm(X, \dots)
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\item {coefficients }{a vector of coefficients }
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\item {stderr }{a vector of the (estimated ) standard errors of the coefficient estimates }
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\item {df.residual }{a scalar denoting the degrees of freedom in the model }
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\code {fastLm } returns a richer object which also includes the
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residuals , fitted values and call argument similar to the \code {\link {lm }} or
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\code {\link [MASS ]{rlm }} functions..
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}
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- \seealso {\code {\link {lm }}, \code {\link {lm.fit }}}
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- \references {Armadillo project : \url {http : // arma.sourceforge.net / }}
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+ \seealso {\code {\link {lm }}, \code {\link {lm.fit }}}
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+ \references {Armadillo project : \url {https : // arma.sourceforge.net / }}
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\author {
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Armadillo is written by Conrad Sanderson. RcppArmadillo is written by
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Romain Francois , Dirk Eddelbuettel , Douglas Bates and Binxiang Ni.
@@ -91,7 +91,3 @@ fastLm(X, \dots)
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summary(fastLm(y ~ f1 * f2 , dd )) # some huge coefficients
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}
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\keyword {regression }
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