logitll | R Documentation |
Direct computation of the logarithm of the likelihood of a standard logit model (Chapter 4)
P(y=1|X,beta)= (1+\exp(-beta X))^(-1).
logitll(beta, y, X)
beta |
coefficient of the logit model |
y |
vector of binary response variables |
X |
covariate matrix |
returns the logarithm of the logit likelihood for the data y
,
covariate matrix X
and parameter vector beta
probitll
data(bank) y=bank[,5] X=as.matrix(bank[,-5]) logitll(runif(4),y,X)
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