DBfit-package: A Double Bootstrap Method for Analyzing Linear Models With...
In DBfit: A Double Bootstrap Method for Analyzing Linear Models with Autoregressive Errors
Description
Details
Author(s)
References
Description
Computes the double bootstrap as discussed in McKnight, McKean, and Huitema (2000) <doi:10.1037/1082-989X.5.1.87>.
The double bootstrap method provides a better fit for a linear model with autoregressive errors than ARIMA when the sample size is small.
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Index: This package was not yet installed at build time.
Author(s)
Joseph W. McKean and Shaofeng Zhang
Maintainer: Shaofeng Zhang <shaofeng.zhang@wmich.edu>
References
McKnight, S. D., McKean, J. W., and Huitema, B. E. (2000). A double bootstrap method
to analyze linear models with autoregressive error terms. Psychological methods,
5 (1), 87.
Shaofeng Zhang (2017). Ph.D. Dissertation.
DBfit documentation built on May 1, 2021, 1:09 a.m.
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Description Details Author(s) References
Description
Computes the double bootstrap as discussed in McKnight, McKean, and Huitema (2000) <doi:10.1037/1082-989X.5.1.87>. The double bootstrap method provides a better fit for a linear model with autoregressive errors than ARIMA when the sample size is small.
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Index: This package was not yet installed at build time.
Author(s)
Joseph W. McKean and Shaofeng Zhang
Maintainer: Shaofeng Zhang <shaofeng.zhang@wmich.edu>
References
McKnight, S. D., McKean, J. W., and Huitema, B. E. (2000). A double bootstrap method to analyze linear models with autoregressive error terms. Psychological methods, 5 (1), 87. Shaofeng Zhang (2017). Ph.D. Dissertation.
R Package Documentation
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