pm10: Simulated data set with 514 interval-valued observations of...
In linLIR: linear Likelihood-based Imprecise Regression
Description
Usage
Format
References
Description
This data set was analyzed M. Cattaneo, A. Wiencierz (2012c).
Usage
1
data('pm10')
Format
A data.frame containing 514 rows and 4 columns, i.e. 2 neighboring columns for each variable, the first column for the left endpoints of the interval observations, the second for the right endpoints.
References
M. Cattaneo, A. Wiencierz (2012c). On the implementation of LIR: the case of simple linear regression with interval data. Technical Report No. 127. Department of Statistics. LMU Munich.
A. Wiencierz, M. Cattaneo (2012b). An exact algorithm for Likelihood-based Imprecise Regression in the case of simple linear regression with interval data. In: R. Kruse et al. (Eds.). Advances in Intelligent Systems and Computing. Vol. 190. Springer. pp. 293-301.
M. Cattaneo, A. Wiencierz (2012a). Likelihood-based Imprecise Regression. International Journal of Approximate Reasoning. Vol. 53. pp. 1137-1154.
linLIR documentation built on May 2, 2019, 3:48 p.m.
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Description Usage Format References
Description
This data set was analyzed M. Cattaneo, A. Wiencierz (2012c).
Usage
1 | data('pm10')
|
Format
A data.frame containing 514 rows and 4 columns, i.e. 2 neighboring columns for each variable, the first column for the left endpoints of the interval observations, the second for the right endpoints.
References
M. Cattaneo, A. Wiencierz (2012c). On the implementation of LIR: the case of simple linear regression with interval data. Technical Report No. 127. Department of Statistics. LMU Munich.
A. Wiencierz, M. Cattaneo (2012b). An exact algorithm for Likelihood-based Imprecise Regression in the case of simple linear regression with interval data. In: R. Kruse et al. (Eds.). Advances in Intelligent Systems and Computing. Vol. 190. Springer. pp. 293-301.
M. Cattaneo, A. Wiencierz (2012a). Likelihood-based Imprecise Regression. International Journal of Approximate Reasoning. Vol. 53. pp. 1137-1154.
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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