Is there any package in R that's commonly used for semi-supervised learning ? I have a dataset where I manually labeled 100 data points so I'd like to use semi-supervise learning for the rest of the data sets.
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You can try for example the upclass package
There you will find the standard pdf reference and a vignette explaining it all along with examples. I think the function upclassify() would match your requirements.
Probably irrelevant now, but it might make the answer more complete to also mention the
spa package as well. It uses a graph-based technique to learn a model. Basically it uses information from both the data point features and how similar data points are to each other. If you have a distance matrix for the data points, it might work well. This article explains it with a bit more detail and some examples. You can find the package binary files here:
edited to provide some additional info about package.