Struct LogisticRes
Plain old data struct to hold the results of a logistic regression.
Fields
| Name | Type | Description |
betas
|
double[] | The coefficients, one for each range in X. These will be in the order
that the X ranges were passed in.
|
logLikelihood
|
double | The log likelihood for the model fit.
|
lowerBound
|
double[] | The Wald lower confidence bounds of the beta terms, at the confidence level
specificied. (Default 0.95).
|
nullLogLikelihood
|
double | The log likelihood for the null model.
|
overallP
|
double | The P-value for the model as a whole, based on the likelihood ratio test.
The null here is that the model has no predictive value, the alternative
is that it does have predictive value.
|
p
|
double[] | The P-value for the alternative that the corresponding beta value is
different from zero against the null that it is equal to zero. These
are calculated using the Wald Test.
|
stdErr
|
double[] | The standard error terms of the X ranges passed in.
|
upperBound
|
double[] | The Wald upper confidence bounds of the beta terms, at the confidence level
specificied. (Default 0.95).
|
Properties
| Name | Type | Description |
aic[get]
|
double | Akaike Information Criterion, which is a complexity-penalized goodness-
of-fit score, equal to 2 * k - 2 log(L) where L is the log likelihood and
k is the number of parameters.
|
Methods
| Name | Description |
toString
|
Print out the results in the default format.
|