Michael W. Kearney

Michael W. Kearney

5 packages on CRAN

3 packages on GitHub

funique

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Similar to base's unique function, only optimized for working with data frames, especially those that contain date-time columns.

botrnot

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Classify Twitter accounts as bot or not bot. The packagae uses a gradient boosted model, which was trained using thousands of real automated (bot) and non-automated Twitter accounts, and returns estimated probabilities of whether supplied accounts are bots.

rtweet

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An implementation of calls designed to collect and organize Twitter data via Twitter's REST and stream Application Program Interfaces (API), which can be found at the following URL: <https://developer.twitter.com/en/docs>.

tbltools

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Tools for working with tibbles, or data.frame-like objects generated by the 'tibble' package <https://tibble.tidyverse.org/>. Functions assist in converting objects to tibbles and creating frequency tables.

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A tool for extracting some generic features (e.g., number of words, line breaks, characters per word, URLs, lower case, upper case, commas, periods, exclamation points, etc.) from strings of text.

tfse

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A collection of useful tools for programming and writing-scripts. Several functions are simple wrappers around base R functions that extend their functionality while also providing some convenient properties<e2><80><93>regular expression functions that automatically detect look-ahead and look-behind statements, a read-line function that suppresses incomplete-final-line warnings and automatically opens and closes connections, a version of substrings that starts from the end of strings, etc. Other functions are useful for working with hexadecimal colors, installing packages, omitting missing data, and showing in-use connections.

pkgverse

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Build your own universe of packages similar to the 'tidyverse' package <https://tidyverse.org/> with this meta-package creator. Create a package-verse, or meta package, by supplying a custom name for the collection of packages and the vector of desired package names to include<e2><80><93> and optionally supply a destination directory, an indicator of whether to keep the created package directory, and/or a vector of verbs implement via the 'usethis' <http://usethis.r-lib.org/> package.

tweetbotornot

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Classify Twitter accounts as bot or not bot. The package uses a generalized boosted model, which was trained using thousands of real automated (bot) and non-automated Twitter accounts, and returns estimated probabilities of whether supplied accounts are bots.