df3: Simulated Gumbel data
In AFIT-R/sure: Surrogate Residuals for Ordinal and General Regression Models
Description
Usage
Format
References
Examples
Description
Data simulated from a log-log model with a quadratic trend. The data are
described in Example 3 of Liu and Zhang (2017).
Usage
1
Format
A data frame with 2000 rows and 2 variables.
-
x The predictor variable.
-
y The response variable; an ordered factor.
References
Liu, Dungang and Zhang, Heping. Residuals and Diagnostics for Ordinal
Regression Models: A Surrogate Approach.
Journal of the American Statistical Association (accepted).
Examples
1
AFIT-R/sure documentation built on Feb. 8, 2020, 11:55 a.m.
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Description Usage Format References Examples
Description
Data simulated from a log-log model with a quadratic trend. The data are described in Example 3 of Liu and Zhang (2017).
Usage
1 |
Format
A data frame with 2000 rows and 2 variables.
-
xThe predictor variable. -
yThe response variable; an ordered factor.
References
Liu, Dungang and Zhang, Heping. Residuals and Diagnostics for Ordinal Regression Models: A Surrogate Approach. Journal of the American Statistical Association (accepted).
Examples
1 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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