Description Usage Arguments Value Note References

Simulate surrogate response values for cumulative link regression models using the latent method described in Liu and Zhang (2017).

1 2 |

`object` |
An object of class |

`method` |
Character string specifying the type of surrogate to use; for details, see Liu and Zhang (2017). For cumulative link models, the latent variable method is used. For binary GLMs, the jittering approach is employed. (Currently ignored.) |

`jitter.scale` |
Character string specifying the scale on which to perform
the jittering. Should be one of |

`nsim` |
Integer specifying the number of bootstrap replicates to use.
Default is |

`...` |
Additional optional arguments. (Currently ignored.) |

A numeric vector of class `c("numeric", "surrogate")`

containing
the simulated surrogate response values. Additionally, if `nsim`

> 1,
then the result will contain the attributes:

`boot.reps`

A matrix with

`nsim`

columns, one for each bootstrap replicate of the surrogate values. Note, these are random and do not correspond to the original ordering of the data;`boot.id`

A matrix with

`nsim`

columns. Each column contains the observation number each surrogate value corresponds to in`boot.reps`

. (This is used for plotting purposes.)

Surrogate response values require sampling from a continuous distribution;
consequently, the result will be different with every call to
`surrogate`

. The internal functions used for sampling from truncated
distributions are based on modified versions of
`rtrunc`

and `qtrunc`

.

Liu, Dungang and Zhang, Heping. Residuals and Diagnostics for Ordinal
Regression Models: A Surrogate Approach.
*Journal of the American Statistical Association* (accepted). URL
http://www.tandfonline.com/doi/abs/10.1080/01621459.2017.1292915?journalCode=uasa20

Nadarajah, Saralees and Kotz, Samuel. R Programs for Truncated Distributions.
*Journal of Statistical Software, Code Snippet*, 16(2), 1-8, 2006. URL
https://www.jstatsoft.org/v016/c02.

AFIT-R/sure documentation built on Nov. 21, 2017, 9:23 a.m.

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