
datefixR - Standardize Dates in Different Formats or with Missing Data
There are many different formats dates are commonly represented with: the order of day, month, or year can differ, different separators ("-", "/", or whitespace) can be used, months can be numerical, names, or abbreviations and year given as two digits or four. 'datefixR' takes dates in all these different formats and converts them to R's built-in date class. If 'datefixR' cannot standardize a date, such as because it is too malformed, then the user is told which date cannot be standardized and the corresponding ID for the row. 'datefixR' also allows the imputation of missing days and months with user-controlled behavior.
Last updated
dateswranglingrustcargo
8.24 score 34 stars 47 scripts 733 downloads
datefixR - Standardize Dates in Different Formats or with Missing Data
There are many different formats dates are commonly represented with: the order of day, month, or year can differ, different separators ("-", "/", or whitespace) can be used, months can be numerical, names, or abbreviations and year given as two digits or four. 'datefixR' takes dates in all these different formats and converts them to R's built-in date class. If 'datefixR' cannot standardize a date, such as because it is too malformed, then the user is told which date cannot be standardized and the corresponding ID for the row. 'datefixR' also allows the imputation of missing days and months with user-controlled behavior.
Last updated
dateswranglingrustcargo
8.24 score 34 stars 47 scripts 733 downloads
gameR - Color Palettes Inspired by Video Games
Palettes based on video games.
Last updated
gamingggplot2palettes
5.70 score 7 stars 18 scripts 225 downloads
landmaRk - Time-to-Event Landmark Analysis using an Array of Longitudinal and Survival Sub-Models
Provides a modular end-to-end framework for dynamic risk prediction based on time-to-event and longitudinal data. This allows flexible specifications for the longitudinal and survival sub-models. The 'landmaRk' package enables reproducible benchmarks of different model choices, including cross-validation to assess out-of-sample predictive performance. Methods are described in Velasco-Pardo, Constantine-Cooke, Lees and Vallejos (2026, manuscript under preparation) 'Landmarking with Latent Class Mixed Models for Dynamic Prediction of Time-to-event Data with Heterogeneous Biomarker Trajectories'.
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landmarkinglongitudinal-datasurvival-analysistime-to-event
4.68 score 1 stars 10 scriptslibdr - Support Functions used by the LIBDR LCMM Analysis
This package provides support functions frequently used by Constantine et al. for their paper, "Large-scale clustering of longitudinal faecal calprotectin and C-reactive protein profiles in inflammatory bowel disease". These functions are primarily used to manipulate data and visualise findings.
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clusteringcrpdenmarkfcalibdlcmmscotland
2.23 score 17 scriptslibdr - Support Functions used by the LIBDR LCMM Analysis
This package provides support functions frequently used by Constantine et al. for their paper, "Large-scale clustering of longitudinal faecal calprotectin and C-reactive protein profiles in inflammatory bowel disease". These functions are primarily used to manipulate data and visualise findings.
Last updated
clusteringcrpdenmarkfcalibdlcmmscotland
2.23 score 17 scripts
