Fast computation of simple regression slopes for each predictor represented by a column in a matrix
mfastLmCpp(y, x, addintercept = TRUE)
A data frame with three variables: coefficients, stderr, and tstat that gives the slope estimate, the corresponding standard error, and their ratio for each column in x.
A vector of outcomes.
A matrix of regressor variables. Must have the same number of rows as the length of y.
A logical that determines if the intercept should be included in all analyses (TRUE) or not (FALSE)
Claus Ekstrom <claus@rprimer.dk>
No error checking is done