| Library: | glm |
| See also: | glmbilo genmultlo |
| Macro: | genbilo | |
| Description: | genbilo generates data from a logit model, i.e. y from Binomial(m,p) with P(y=1)=1./(1+exp(-x*b)) |
| Usage: | {y,p} = genbilo(x,b{,m}) | |
| Input: | ||
| x | n x k matrix, design. | |
| b | k x 1 vector, coefficients. | |
| m | optional, n x 1 vector. | |
| Output: | ||
| y | n x 1 vector, binomial. | |
| p | n x 1 vector, probabilities. | |
library("glm")
n = 100
b = 2|(-1)
x = normal(n,rows(b))
m = ceil(uniform(n).*5)
{y,p} = genbilo(x,b,m)
y[i] is a pseudo random variable with distribution Binomial(m[i],p[i]) where p[i]=1/(1+exp(-x[,i]*b)
| Library: | glm |
| See also: | glmbilo genmultlo |