mdprefml {lazy.mdpref} R Documentation

## Maxmul Likelihood Solution to MDPREF

### Description

Maxmul Likelihood Solution to MDPREF

### Usage

```mdprefml(f, n, ij, subj, ndim = 2, lmax = 50, eps = 1e-06, minp = 1e-07,
lmax2 = 2, print = 1, plot = 0)
```

### Arguments

 `f` vector consisting of the # of times that the left stimuli was chosen out of n trials. `n` vector consisting of the # of trials. `ij` matrix indicating the stimulus pair. `subj` vector indicating the subject. `ndim` # of dimensions `lmax` max # of iterations `eps` criterion for convergence `minp` minimum value of the probability `lmax2` max # of iterations for the inner iteration for X and Beta `print` = 1 to print the result `plot` = 1 to plot the result

### Details

The quartet ( subj, n, f, ij ) contains the result of the paired comparison data.
Thoese four objects has the same length or # of rows.
The k-th elements of the quartet indicates that
subj[k] preferred stimulus ij[k,1] over ij[k,2] f[k] times when exposed to the pair n[k] times.
The paired comparizon for each subject does no have to be complete.

### Examples

```ij <- cbind( data_comp\$ij.1, data_comp\$ij.2)
mdprefml( f=data_comp\$f, n=data_comp\$n, ij=ij, subj=data_comp\$subj, plot=1 )

ij <- cbind( data_miss\$ij.1, data_miss\$ij.2)
mdprefml( f=data_miss\$f, n=data_miss\$n, ij=ij, subj=data_miss\$subj, plot=1 )
```

[Package lazy.mdpref version 0.1.2 Index]