Description Usage Arguments Details Value Author(s) References See Also Examples

Compute separate nonresponse adjustments in a set of classes.

1 | ```
NRadjClass(ID, NRclass, resp, preds=NULL, wts=NULL, type)
``` |

`ID` |
identification value for a unit |

`NRclass` |
vector of classes to use for nonresponse adjustment. Length is number of respondents plus nonrespondents |

`resp` |
indicator for whether unit is anonrespondent (must be coded 0) or respondent (must be coded 1) |

`preds` |
response probabilities, typically estimated from a binary regression model as in |

`wts` |
vector of survey weights, typically base weights or base weights adjusted for unknown eligibility |

`type` |
type of adjustment computed within each value of |

The input vectors should include both respondents and nonrespondents in a sample. A single value between 0 and 1 is computed in each nonresponse adjustment class to be used as a nonresponse adjustment. Five alternatives are available for computing the adjustment based on the value of `type`

. The value of the adjustment is merged with individual unit data and stored in the `RR`

field of the output data frame.

A data frame of respondents only with four columns:

`NRcl.no` |
number of the nonresponse adjustment class for each unit |

`ID` |
identification value for a unit |

`resp` |
value of the |

`RR` |
nonresponse adjustment for each unit |

Richard Valliant, Jill A. Dever, Frauke Kreuter

Valliant, R., Dever, J., Kreuter, F. (2013, chap. 13). *Practical Tools for Designing and Weighting Survey Samples*. New York: Springer.

1 2 3 4 5 6 7 | ```
require(PracTools)
data(nhis)
out <- pclass(formula = resp ~ age + as.factor(sex) + as.factor(hisp) + as.factor(race),
data = nhis, type = "unwtd", link="logit", numcl=5)
# unweighted average of response propensities within each class
zz <- NRadjClass(ID=nhis[,"ID"], NRclass = as.numeric(out$p.class), resp=nhis[,"resp"],
preds=out$propensities, wts=NULL, type=1)
``` |

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