Packaged: 2016-12-09 00:41:21 UTC; ironholds

Packaged: 2017-08-02 10:33:25 UTC; ironholds

Packaged: 2017-11-17 20:02:10 UTC; ironholds

Author: Os Keyes [aut, cre], Aaron Halfaker [ctb], Yuvi Panda [ctb]
Description: A connector to ORES (<https://ores.wmflabs.org/>), an AI project to provide edit scoring for content
Packaged: 2020-08-26 01:17:57 UTC; ironholds

Author: Gabriel Okasa [aut, cre], Michael Lechner [ctb]
Description: An implementation of the Ordered Forest estimator as developed
in Lechner & Okasa (2019) <arXiv:1907.02436>. The Ordered Forest flexibly
estimates the conditional probabilities of models with ordered categorical
outcomes (so-called ordered choice models). Additionally to common machine
learning algorithms the 'orf' package provides functions for estimating
marginal effects as well as statistical inference thereof and thus provides
similar output as in standard econometric models for ordered choice. The
core forest algorithm relies on the fast C++ forest implementation from
the 'ranger' package (Wright & Ziegler, 2017) <arXiv:1508.04409>.
Imports: ggplot2, ranger, Rcpp, stats, utils, xtable

Description: A system to help you organize projects. Most analyses have three (or more) main sections: code, results, and data, each with different requirements (version control/sharing/encryption). You provide folder locations and 'org' helps you take care of the details.

person(c("Richard","Aubrey"), "White", email = "hello@rwhite.no", role = c("aut", "cre"),comment = c(ORCID = "0000-0002-6747-1726"))

person(c("Richard","Aubrey"), "White", email = "hello@rwhite.no", role = c("aut", "cre"),comment = c(ORCID = "0000-0002-6747-1726")),
person(given = "Folkehelseinstituttet", role = c("cph"))

Title: Analyse Text Files Created by Emacs' Org mode
Description: Provides functionality to process text files created by Emacs' Org mode, and decompose the content to the smallest components (headlines, body, tag, clock entries etc).  Emacs is an extensible, customizable text editor and Org mode is for keeping notes, maintaining TODO lists, planning projects.  Allows users to analyze org files as data frames in R, e.g., to convieniently group tasks by tag into project and calculate total working hours.  Also provides some help functions like search.parent, gg.pie (visualise working hours in ggplot2) and tree.headlines (visualise headline stricture in tree format) to help user managing their complex org files.