R: Logistic regression

fitLogistic {bigstep} | R Documentation

## Logistic regression

### Description

Fit the logistic regression model and calculate the log-likelihood.

### Usage

    fitLogistic(X, y)

### Arguments

`X` | a numeric matrix.
`y` | a numeric vector.

### Value

A number, the log-likelihood.

### Examples

    set.seed(1)
    n <- 100
    M <- 10
    X <- matrix(rnorm(M*n), ncol=M)
    mu <- X[, 2] - X[, 3] + X[, 6] - X[, 10]
    p <- 1/(1 + exp(-mu))
    y <- rbinom(n, 1, p)
    fitLogistic(X, y)

[Package bigstep version 0.7.4 Index]