In this minor release, glmPredict
was refactored to simplify and specify functionalities. The glm_predict
function was altered to take different positive/negative class labels, and now returns only the augment
object with corresponding predictions. Evaluating predictions is now addressed by specific functions -- accuracy_score
, precision_score
and recall_score
.
No code changes here. A more detailed description of the development of glmPredict
was added to the main README
.
This is the first version of glmPredict! It contains a single function, glm_predict
, that can make predictions given a glm
object. It also comes packaged with a toy dataset, cancer_clean
, which can be used to test and play with.
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