Showing 4 of total 4 results (show query)
rjdverse
RJDemetra:Interface to 'JDemetra+' Seasonal Adjustment Software
Interface around 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment software officially recommended to the members of the European Statistical System (ESS) and the European System of Central Banks. It offers full access to all options and outputs of 'JDemetra+', including the two leading seasonal adjustment methods TRAMO/SEATS+ and X-12ARIMA/X-13ARIMA-SEATS.
Maintained by Alain Quartier-la-Tente. Last updated 22 days ago.
53 stars 8.67 score 128 scripts 5 dependentsrjdverse
rjd3workspace:Interface to 'JDemetra+ 3.x' time series analysis software.
R Interface to 'JDemetra+ 3.x' (<https://github.com/jdemetra>). It offers several functions to manipulate 'JDemetra+' workspaces, which can be read by the software and can store several seasonal adjusted series along with user-defined calendars or regression variables.
Maintained by Tanguy Barthelemy. Last updated 2 months ago.
3 stars 3.62 score
cranhaven
rock:Reproducible Open Coding Kit
The Reproducible Open Coding Kit ('ROCK', and this package, 'rock') was developed to facilitate reproducible and open coding, specifically geared towards qualitative research methods. Although it is a general-purpose toolkit, three specific applications have been implemented, specifically an interface to the 'rENA' package that implements Epistemic Network Analysis ('ENA'), means to process notes from Cognitive Interviews ('CIs'), and means to work with decentralized construct taxonomies ('DCTs'). The 'ROCK' and this 'rock' package are described in the ROCK book <https://rockbook.org> and more information, such as tutorials, is available at <https://rock.science>.
Maintained by Gjalt-Jorn Peters. Last updated 20 days ago.
5 stars 3.40 score
cran
justifier:Human and Machine-Readable Justifications and Justified Decisions Based on 'YAML'
Leverages the 'yum' package to implement a 'YAML' ('YAML Ain't Markup Language', a human friendly standard for data serialization; see <https:yaml.org>) standard for documenting justifications, such as for decisions taken during the planning, execution and analysis of a study or during the development of a behavior change intervention as illustrated by Marques & Peters (2019) <doi:10.17605/osf.io/ndxha>. These justifications are both human- and machine-readable, facilitating efficient extraction and organisation.
Maintained by Gjalt-Jorn Peters. Last updated 2 years ago.
3.18 score