spa: Semi-Supervised Semi-Parametric Graph-Based Estimation in R
In this paper, we present an R package that combines feature-based (X) data and graph-based (G) data for prediction of the response Y . In this particular case, Y is observed for a subset of the observations (labeled) and missing for the remainder (unlabeled). We examine an approach for fitting Y =...
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| Format: | Article |
| Language: | English |
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Foundation for Open Access Statistics
2011-04-01
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| Series: | Journal of Statistical Software |
| Subjects: | |
| Online Access: | http://www.jstatsoft.org/v40/i10/paper |