Alex Hayes

Alex Hayes

3 packages on CRAN

broom

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Summarizes key information about statistical objects in tidy tibbles. This makes it easy to report results, create plots and consistently work with large numbers of models at once. Broom provides three verbs that each provide different types of information about a model. tidy() summarizes information about model components such as coefficients of a regression. glance() reports information about an entire model, such as goodness of fit measures like AIC and BIC. augment() adds information about individual observations to a dataset, such as fitted values or influence measures.

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Tools to create and manipulate probability distributions using S3. Generics random(), pdf(), cdf() and quantile() provide replacements for base R's r/d/p/q style functions. Functions and arguments have been named carefully to minimize confusion for students in intro stats courses. The documentation for each distribution contains detailed mathematical notes.

formulize

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Automatically generates wrappers for modelling functions that accept data as a data matrix X and a data vector y and produces a wrapper that allows users to specify input data with a formula and a data frame. In addition to generating formula interfaces, users may also generated wrapper S3 generics.