absFromDataframe | Generate pairwise absolute differences from dataframes |
addGreppedPatterns | Search for inventory-related information within item titles |
cleanFeedback | Clean feedback data |
cleanItems | Clean items data |
cleanItems2 | Clean items data (excluding inventory - dosage and unit) |
cleanParsedItems | Clean parsed item scrapes |
cleanParsedUsers | Clean parsed profile scrapes |
cleanUsers | Clean users data |
consolidateCols | Create dosage and units columns |
exampleFit | Example random forest model fit |
extractPGPs | Extract any PGP keys from an input string |
fromList | Generate pairwise comparisons from list items |
fromSalesDays | Generate pairwise similarities given binary vector of sales... |
generatePGPs | Get list of PGP keys for each account in some timeframe of... |
getClust | Going from links to clusters |
getHcluster | Hierarchical clustering given pairwise distances |
getPairs | Generate basic pairwise comparisons for user accounts of... |
heisenbrgr | heisenbrgr: A package for linking anonymous marketplace... |
hierarchical | Hierarchical clustering to generate final clusters |
infoFromDescriptionClean | Get account-level information from item description scrapes... |
infoFromFeedback | Get account-level information from feedback data for some... |
infoFromItems | Get account-level information from items data for some... |
infoFromProfileClean | Get account-level information from profile scrapes for some... |
infoFromUsers | Takes subset of users data for some timeframe of interest |
linksAnalysis | Generate binary column representing links between pairs,... |
longToSquare | Generate distance matrix from pairwise list and distance (or... |
noInfo | Check if an input string has useful information |
predictRF | Run classification using random forests |
runStep1 | Run all of step 1 |
runStep1_2 | Run all of step 1 (excluding extracting inventory) |
runStep2 | Run all of step 2 to get account-level information |
runStep3 | Run all of step 3 to get pairwise comparisons |
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