Showing 5 of total 5 results (show query)
tidyverse
lubridate:Make Dealing with Dates a Little Easier
Functions to work with date-times and time-spans: fast and user friendly parsing of date-time data, extraction and updating of components of a date-time (years, months, days, hours, minutes, and seconds), algebraic manipulation on date-time and time-span objects. The 'lubridate' package has a consistent and memorable syntax that makes working with dates easy and fun.
Maintained by Vitalie Spinu. Last updated 4 months ago.
757 stars 20.95 score 135k scripts 1.9k dependents
melff
memisc:Management of Survey Data and Presentation of Analysis Results
An infrastructure for the management of survey data including value labels, definable missing values, recoding of variables, production of code books, and import of (subsets of) 'SPSS' and 'Stata' files is provided. Further, the package allows to produce tables and data frames of arbitrary descriptive statistics and (almost) publication-ready tables of regression model estimates, which can be exported to 'LaTeX' and HTML.
Maintained by Martin Elff. Last updated 27 days ago.
46 stars 12.34 score 1.2k scripts 13 dependents
cran
sets:Sets, Generalized Sets, Customizable Sets and Intervals
Data structures and basic operations for ordinary sets, generalizations such as fuzzy sets, multisets, and fuzzy multisets, customizable sets, and intervals.
Maintained by David Meyer. Last updated 1 years ago.
1 stars 5.53 score 109 dependents
dgkf
parttime:Partial Datetime Handling
Datetimes and timestamps are invariably an imprecise notation, with any partial representation implying some amount of uncertainty. To handle this, 'parttime' provides classes for embedding partial missingness as a central part of its datetime classes. This central feature allows for more ergonomic use of datetimes for challenging datetime computation, including calculations of overlapping date ranges, imputations, and more thoughtful handling of ambiguity that arises from uncertain time zones. This package was developed first and foremost with pharmaceutical applications in mind, but aims to be agnostic to application to accommodate general use cases just as conveniently.
Maintained by Doug Kelkhoff. Last updated 1 years ago.
17 stars 3.93 score 3 scripts
hkestler
TunePareto:Multi-Objective Parameter Tuning for Classifiers
Generic methods for parameter tuning of classification algorithms using multiple scoring functions (Muessel et al. (2012), <doi:10.18637/jss.v046.i05>).
Maintained by Hans Kestler. Last updated 1 years ago.
1 stars 3.52 score 92 scripts 2 dependents