RSmpl: Sample Objects

In RaschSampler: Rasch Sampler

Sample Objects

Description

The objects of class RSmpl and RSmplext contain the original input matrix, the generated (encoded) random matrices, and some information about the sampling process.

Value

A list of class RSmpl or RSmplext with components

n	number of rows of the input matrix
k	number of columns of the input matrix
inpmat	the input matrix
tfixed	TRUE, if diagonals of inpmat are fixed
burn_in	length of the burn in process
n_eff	number of generated matrices (effective matrices)
step	controls the number number of void matrices generated in the the burn in process and when effective matrices are generated (see note in rsctrl).
seed	starting value for the random number generator
n_tot	number of matrices in outvec.
outvec	vector of encoded random matrices
ier	error code (see below)

Generation

These classes of objects are returned from rsampler and rsextrobj.

Methods

Both classes have methods for the generic summary function.

Note

By default, all generated matrices plus the original matrix (in position 1) are contained in outvec, thus n_tot = n_eff + 1. If the original matrix is not in outvec then n_tot = n_eff.

If ier is 0, no error was detected. Otherwise use the error function rserror(ier) to obtain some informations.

For saving and loading objects of class RSmpl or RSmplext see the example in rsextrobj.

See Also

rsampler, rsextrobj

RaschSampler documentation built on Sept. 27, 2023, 5:08 p.m.