print.eRm {eRm} | R Documentation |
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.
## 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, ...)
object, x, y |
An object of class eRm or Rm . |
... |
arguments to pass down (ignored). |
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.
Patrick Mair, Reinhold Hatzinger
data(raschdat) res <- RM(raschdat) print(res) plot(res) summary(res) coef(res) vcov(res) model.matrix(res)