| print.eRm {eRm} | R Documentation |
The summary and plot methods produce LR-tests and goodness-of-fit
plots for objects of class Rm, i.e. the Rasch model, the RSM, and the PCM. 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 'Rm': 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). |
vcov returns the variance-covariance matrix of the parameter estimates, coef
the estimates of the basic parameters, print the value of the log-likelihood and the
parameter estimates and their standard errors, model.matrix the design matrix, and
summary and plot as described above.
Patrick Mair, Reinhold Hatzinger
data(X_rasch) res <- RM(X_rasch) print(res) plot(res) summary(res) coef(res) vcov(res) model.matrix(res)