Fast marginal simple regresion analyses
Fast computation of simple regression slopes for each predictor represented by a column in a matrix
mfastLm_cpp(y, x, addintercept)
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)
A data frame with two variables: coefficients and stderr that gives the slope estimate and corresponding standard error for each column in x.
Claus Ekstrom <email@example.com>
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