trainSurv: Sample Training Data for the Iterative BMA Algorithm for...
In iterativeBMAsurv: The Iterative Bayesian Model Averaging (BMA) Algorithm For Survival Analysis
Description
Usage
Format
Source
References
Description
This is an diffuse large B-cell lymphoma (DLBCL) dataset from Rosenwald et al. (2002).
This is a vector of survival times for 65 training samples. All survival times are
given in years.
Usage
1
Format
The vector is called trainSurv.
Source
Full dataset: http://llmpp.nih.gov/DLBCL/.
References
Rosenwald, A., Wright, G., Wing, C., Connors, J., Campo, E. et al. (2002).
The Use of Molecular Profiling to Predict Survival After Chemotherapy for Diffuse Large-B-Cell Lymphoma.
The New England Journal of Medicine, 346(25), 1937-1947.
iterativeBMAsurv documentation built on Nov. 8, 2020, 11:10 p.m.
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Description Usage Format Source References
Description
This is an diffuse large B-cell lymphoma (DLBCL) dataset from Rosenwald et al. (2002). This is a vector of survival times for 65 training samples. All survival times are given in years.
Usage
1 |
Format
The vector is called trainSurv.
Source
Full dataset: http://llmpp.nih.gov/DLBCL/.
References
Rosenwald, A., Wright, G., Wing, C., Connors, J., Campo, E. et al. (2002). The Use of Molecular Profiling to Predict Survival After Chemotherapy for Diffuse Large-B-Cell Lymphoma. The New England Journal of Medicine, 346(25), 1937-1947.
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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