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Fast Linear Regression

Source: R/RcppExports.R
lmcpp.Rd

Used to get marginal coefficients off of a generalized linear mixed model.

Usage

lmcpp(X, y)

Arguments

X

A numeric model matrix. If intercept is desired, it must already have been added as a column.

y

A numeric matrix. A single column if one response variable or multiple columns where each column is a different response, such as a for marginal coefficients where each column is a different MCMC sample.

Value

A numeric matrix with the coefficient.

Examples

lmcpp(cbind(1, mtcars$hp, mtcars$am), as.matrix(mtcars[, c("mpg", "qsec")]))
#>            [,1]        [,2]
#> [1,] 26.5849137 21.57549953
#> [2,] -0.0588878 -0.02116732
#> [3,]  5.2770853 -1.53050633