Fast marginal simple regresion analyses

Description

Fast computation of simple regression slopes for each predictor represented by a column in a matrix

Usage

1
mfastLm_cpp(y, x, addintercept)

Arguments

y

A vector of outcomes.

x

A matrix of regressor variables. Must have the same number of rows as the length of y.

addintercept

A logical that determines if the intercept should be included in all analyses (TRUE) or not (FALSE)

Value

A data frame with two variables: coefficients and stderr that gives the slope estimate and corresponding standard error for each column in x.

Author(s)

Claus Ekstrom <claus@rprimer.dk>

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