Class: Statsample::GLM::MLE::Logistic
- Defined in:
- lib/statsample-glm/glm/mle/logistic.rb
Overview
Logistic MLE estimation. See Statsample::Regression for methods to generate a logit regression. Usage:
mle=Statsample::GLM::MLE::Logistic.new
mle.newton_raphson(x,y)
beta=mle.coefficients
likelihood=mle.likelihood(x, y, beta)
iterations=mle.iterations
Constant Summary
Constants inherited from Base
Instance Attribute Summary
Attributes inherited from Base
#coefficients, #degree_of_freedom, #fitted_mean_values, #iterations, #log_likelihood, #residuals
Method Summary
Methods inherited from Base
#initialize, #newton_raphson, #standard_error
Constructor Details
This class inherits a constructor from Statsample::GLM::MLE::Base