Description Usage Arguments Value Author(s) References
summary
method for class "oglmx
"
1 2 3 4 5 |
object |
an object of class "oglmx" |
tol |
argument passed to qr.solve, defines the tolerance for detecting linear dependencies in the hessian matrix to be inverted. |
... |
additional arguments, currently ignored. |
x |
object of class |
regtype |
character string describing the type of model estimated. |
loglikelihood |
log-likelihood for the estimated model. |
estimate |
matrix with four columns and number of rows equal to the number of estimated parameters. Columns of the matrix correspond to estimated coefficients, standard errors, t-statistics and (two-sided) p-values. |
estimateDisplay |
the same data as in |
no.iterations |
number of iterations used in function that maximises the log-likelihood. |
McFaddensR2 |
McFadden's R^2 aka Pseudo-R^2. Calculated as: R^2=1-\log{L_{fit}}/\log{L_0} where \log{L_{fit}} is the log-likelihood for the fitted model and \log{L_0} is the log-likelihood from an intercept only model that estimates the probability of each alternative to be the sample average. |
AIC |
Akaike Information Criterion, calculated as: AIC=2k-2\log{L_{fit}} where k is the number of estimated parameters. |
coefficients |
named vector of estimated parameters. |
Carroll, Nathan nathan.carroll@ur.de
McFadden, D. (1973) Conditional Logit Analysis of Qualitative Choice Behavior in Frontiers in Econometrics. P.Zarembka (Ed.), New York, Academic Press.
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