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Now that you've got a good sense of how to 'speak' R, let's use it with linear regression to make distinctive predictions.
I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems.
Additive models and tree-based regression models are two main classes of statistical models used to predict the scores on a continuous response variable. It is known that additive models become very ...
Approaches to regression estimation using the overall likelihood function, and a marginal likelihood function based on failure time ranks, are also indicated. Illustration of the possible effect of ...
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