| Name : R-PAmeasures
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| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.13
| Date : 2024-06-14 11:03:10
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| Group : Development/Libraries/Other
| Source RPM : R-PAmeasures-0.1.0-lp153.2.13.src.rpm
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| Size : 0.03 MB
| |
| Packager : (none)
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| Summary : Prediction and Accuracy Measures for Nonlinear Models and for Right-Censored Time-to-Event Data
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Description :
We propose a pair of summary measures for the predictive power of a
prediction function based on a regression model. The regression model
can be linear or nonlinear, parametric, semi-parametric, or
nonparametric, and correctly specified or mis-specified. The first
measure, R-squared, is an extension of the classical R-squared
statistic for a linear model, quantifying the prediction function\'s
ability to capture the variability of the response. The second measure,
L-squared, quantifies the prediction function\'s bias for predicting the
mean regression function. When used together, they give a complete
summary of the predictive power of a prediction function. Please refer
to Gang Li and Xiaoyan Wang (2016) < arXiv:1611.03063> for more details.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
