Logistic Regression with Maximum Likelihood Estimation
Fit a logistic regression model using maximum likelihood estimation
ml.rgr(dataset)
dataset |
a |
This function is a wrapper for glm.fit, for convenient
application within several functions in the apricomp package. This function may
be called directly. For regression with an intercept included, the first column in
the dataset must be a column of 1s.
The function returns a column-vector containing the logistic regression coefficients and intercept (if specified).
## Logistic regression using a subset of the mtcars data (outcome is "vs") data(mtcars) mtc.df <- mtcars[, c(8, 1, 9)] mtc.shaped <- datashape(dataset = mtc.df, y = 1) ml.rgr(mtc.shaped) ml.rgr(cbind(1,mtc.shaped))
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.