# residuals.genloglin: Calculate Standardized Pearson Residuals for MRCV Data In MRCV: Methods for Analyzing Multiple Response Categorical Variables (MRCVs)

## Description

The `residuals.genloglin` method function calculates standardized Pearson residuals for the model specified in the `genloglin` function. It offers an asymptotic approximation and a bootstrap approximation for estimating the variance of the residuals.

## Usage

 ```1 2``` ```## S3 method for class 'genloglin' residuals(object, ...) ```

## Arguments

 `object` An object of class `'genloglin'` produced by the `genloglin` function. `...` Additional arguments passed to or from other methods.

## Details

The bootstrap results are only available when `boot = TRUE` in the call to the `genloglin` function.

The `residuals.genloglin` function uses `tabular` (package tables) to display the results for the two MRCV case.

See Bilder and Loughin (2007) for additional details about calculating the residuals.

## Value

— A list containing at least `std.pearson.res.asymp.var`. For the two MRCV case, the object is a 2Ix2J table of class `'tabular'` containing the standardized Pearson residuals based on the estimated asymptotic variance. For the three MRCV case, the object is a data frame containing the 2Ix2Jx2K residuals.

— For `boot = TRUE` in the call to the `genloglin` function, the list additionally includes:

• `B.use`: The number of bootstrap resamples used.

• `B.discard`: The number of bootstrap resamples discarded due to having at least one item with all positive or negative responses.

• `std.pearson.res.boot.var`: For the two MRCV case, a 2Ix2J table of class `'tabular'` containing the standardized Pearson residuals based on the bootstrap variance. For the three MRCV case, a data frame containing the 2Ix2Jx2K residuals.

## References

Bilder, C. and Loughin, T. (2007) Modeling association between two or more categorical variables that allow for multiple category choices. Communications in Statistics–Theory and Methods, 36, 433–451.

## Examples

 `1` ```## For examples see help(genloglin). ```

MRCV documentation built on May 29, 2017, 5:29 p.m.