eRm (version 0.3.1)

print.eRm: Methods for extended Rasch models

Description

The plot method produce LR-tests and goodness-of-fit plots for objects of class Rm, i.e. the Rasch model, the RSM, and the PCM. The parameter values on the x- and y-axis are centered. The remaining methods can be used for any type of eRm-models.

Usage

## S3 method for class 'eRm':
print(x, ...)
## S3 method for class 'Rm':
plot(x,y, ...)
## S3 method for class 'eRm':
summary(object, ...)
## S3 method for class 'eRm':
coef(object, ...)
## S3 method for class 'eRm':
model.matrix(object, ...)
## S3 method for class 'eRm':
vcov(object, ...)

Arguments

object, x, y

An object of class eRm or Rm.

...

arguments to pass down (ignored).

Details

print the value of the log-likelihood and the parameter estimates and their standard errors. The column names of the table of estimates correspond to the contrasts in the design matrix W. vcov returns the variance-covariance matrix of the parameter estimates, coef the estimates of the basic parameters, , model.matrix the design matrix, and summary and plot as described above.

Examples

data(raschdat)
res <- RM(raschdat)
print(res)
plot(res)
summary(res)
coef(res)
vcov(res)
model.matrix(res)