summary.a90logit: Object summaries of logistic regression model for...

In ipeglim: Imprecise Inferential Framework on Statistical Reasoning

Description

summary is a generic function for summarizing results produced from logistic regression model with maximum likelihood estimation. Using the estimates of fitted object obj, the size of unknown population N and its 100*(1-alpha) confidence interval are calculated.

Usage

  ## S3 method for class 'a90logit'
 summary(object, alpha = 0.05, k = 2,
    ...)

Arguments

object	a fitted model object,
alpha	a confidence level required (alpha=0.05 by default),
k	an integer, the penalty per parameter to be used; the k=2 is used for classical AIC (Akaike's information criteria),
...	other arguments

Value

An object of class summary.a90logit with components including

tab	Formatted object to be printed including coefficients, standard errors, etc. Significance star is also printed with stars,
aic	Akaike Information Criteria,
N	Estimate of unknown population size,
VarN	Variance of N,
ciu	Upper bound of confidence interval,
cil	Lower bound of confidence interval.

Note

print.summary.a90logit is a generic function that displays all summaries of object generated from summary.a90logit.

Author(s)

Chel Hee Lee <[e-mail]>

See Also

AIC, extractAIC, printCoefmat

ipeglim documentation built on May 2, 2019, 4:31 p.m.