miceRanger
tweetbotornot
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miceRanger | tweetbotornot | |
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1 | 2 | |
61 | 385 | |
- | - | |
0.0 | 0.0 | |
over 1 year ago | over 2 years ago | |
R | R | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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miceRanger
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Multiple imputation packages in R
I developed miceRanger because the mice package uses a really slow implementation of random forests. It has a bunch of plotting capabilities and can impute new datasets without re-training the models used in the mice procedure.
tweetbotornot
- Grabe.
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Does anyone know an R package for detecting Twitter Bots? (except tweetbotornot)
Hi, first of all, I know the "tweetbotornot" (which I used once about 1 year ago) package however, it's very old and it doesn't fit with the last updates of R. Both CRAN and devtools installations occur errors related to the R version. ( see: https://github.com/mkearney/tweetbotornot )
What are some alternatives?
mice - Multivariate Imputation by Chained Equations
tweetbotornot2 - 🔍🐦🤖 Detect Twitter Bots!
mlr3learners - Recommended learners for mlr3
GetOldTweets-R - A project written in R to get old tweets, it bypass some limitations of Twitter Official API.
vip - Variable Importance Plots (VIPs)
tidyqpcr - quantitative PCR analysis with the tidyverse
ggplot2 - An implementation of the Grammar of Graphics in R
textfeatures - 👷♂️ A simple package for extracting useful features from character objects 👷♀️
mlr3 - mlr3: Machine Learning in R - next generation
r-naive-bayes-showcase - Naive Bayes classifier in R
healthyR.ts - A time-series companion package to healthyR
academictwitteR - Repo for academictwitteR package to query the Twitter Academic Research Product Track v2 API endpoint.