summary.pordlogist: Summary Method Function for Objects of Class 'pordlogist'

Description Usage Arguments Details Author(s) See Also Examples

View source: R/pordlogist.r

Description

This function shows a summary of the principal results for the estimation for individuals and variables, like number of observations, the number of iterations, the covariances matrix, some Pseudo R-squared indices with the correct classification percentage of each regression and the logLikelihood with "Estimate coefficients", "Std. Error", "z value" or "Pr(>|z|)" values.

Usage

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## S3 method for class 'pordlogist'
summary(object,...)

Arguments

object

This parameter keeps 'pordlogist' object for a variable.

...

Additional parameters to summary.

Details

This function is a method for the generic function summary() for class "pordlogist". It can be invoked by calling summary(x) for an object x of the appropriate class.

Author(s)

Julio Cesar Hernandez Sanchez, Jose Luis Vicente-Villardon

Maintainer: Julio Cesar Hernandez Sanchez <juliocesar_avila@usal.es>

See Also

pordlogist,CheckDataSet,OrdinalLogBiplotEM

Examples

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data(LevelSatPhd)
dataSet = CheckDataSet(LevelSatPhd)
datanom = dataSet$datanom
olb = OrdinalLogBiplotEM(datanom,dim = 2, nnodos = 10, tol = 0.001,
  maxiter = 100, penalization = 0.2)
model = pordlogist(datanom[, 1], olb$RowCoordinates, tol = 0.001,
  maxiter = 100, penalization = 0.2)
summary(model)

Example output

Loading required package: mirt
Loading required package: stats4
Loading required package: lattice
Loading required package: MASS
Loading required package: NominalLogisticBiplot
Loading required package: gmodels
Ordinal Logistic regression Model with Ridge Penalizations 0.2  and logit link 

n:  100 
logLikelihood:  -57.2432 
Iterations:  5 

Coefficients : 
       Estimate Std. Error   z value     Pr(>|z|)
[1,] -4.4280625  0.5590335 -7.920925 2.442491e-15
[2,] -0.9298136  0.4728976 -1.966205 4.927492e-02


Threshold Coefficients : 
      Estimate Std. Error   z value     Pr(>|z|)
1|2 -3.2882019  0.4313697 -7.622700 2.486900e-14
2|3  0.8768969  0.2917568  3.005574 2.650798e-03
3|4  4.4101320  0.5853165  7.534611 4.907186e-14


Pseudo R-squared : 
Cox & Snell:  0.6691315 
Nagelkerke:  0.7478875 
MacFaden:  0.4913746 

OrdinalLogisticBiplot documentation built on May 2, 2019, 3:35 p.m.