Showing 23 of total 23 results (show query)
martigso
stortingscrape:Access Data from the Norwegian Parliament API
Functions for retrieving general and specific data from the Norwegian Parliament, through the Norwegian Parliament API at <https://data.stortinget.no>.
Maintained by Martin Søyland. Last updated 9 days ago.
12.2 match 11 stars 6.02 score 24 scripts
saschagobel
legislatoR:Interface to the Comparative Legislators Database
Facilitates access to the Comparative Legislators Database (CLD). The CLD includes political, sociodemographic, career, online presence, public attention, and visual information for over 67,000 contemporary and historical politicians from 16 countries.
Maintained by Sascha Goebel. Last updated 1 years ago.
datadatasetlegislatorsparliamentpolitical-sciencepoliticianspoliticswikipedia
11.0 match 96 stars 6.24 score 36 scripts
conjugateprior
twfy:Drive the API for TheyWorkForYou
An R wrapper around the API of TheyWorkForYou, a parliamentary monitoring site that scrapes and repackages Hansard (the UK's parliamentary record) and augments it with information from the Register of Members' Interests, election results, and voting records to provide a unified source of information about UK legislators and their activities. See <http://www.theyworkforyou.com> for details.
Maintained by Will Lowe. Last updated 6 years ago.
11.1 match 9 stars 4.65 score 3 scripts
cran
flexclust:Flexible Cluster Algorithms
The main function kcca implements a general framework for k-centroids cluster analysis supporting arbitrary distance measures and centroid computation. Further cluster methods include hard competitive learning, neural gas, and QT clustering. There are numerous visualization methods for cluster results (neighborhood graphs, convex cluster hulls, barcharts of centroids, ...), and bootstrap methods for the analysis of cluster stability.
Maintained by Bettina Grün. Last updated 17 days ago.
7.5 match 3 stars 5.81 score 52 dependents
mdsr-book
mdsr:Complement to 'Modern Data Science with R'
A complement to all editions of *Modern Data Science with R* (ISBN: 978-0367191498, publisher URL: <https://www.routledge.com/Modern-Data-Science-with-R/Baumer-Kaplan-Horton/p/book/9780367191498>). This package contains data and code to complete exercises and reproduce examples from the text. It also facilitates connections to the SQL database server used in the book. All editions of the book are supported by this package.
Maintained by Benjamin S. Baumer. Last updated 7 months ago.
6.0 match 38 stars 7.21 score 504 scripts
edjnet
tidywikidatar:Explore 'Wikidata' Through Tidy Data Frames
Query 'Wikidata' API <https://www.wikidata.org/wiki/Wikidata:Main_Page> with ease, get tidy data frames in response, and cache data in a local database.
Maintained by Giorgio Comai. Last updated 8 months ago.
4.7 match 26 stars 7.76 score 46 scripts 2 dependents
quanteda
quanteda.textmodels:Scaling Models and Classifiers for Textual Data
Scaling models and classifiers for sparse matrix objects representing textual data in the form of a document-feature matrix. Includes original implementations of 'Laver', 'Benoit', and Garry's (2003) <doi:10.1017/S0003055403000698>, 'Wordscores' model, the Perry and 'Benoit' (2017) <doi:10.48550/arXiv.1710.08963> class affinity scaling model, and the 'Slapin' and 'Proksch' (2008) <doi:10.1111/j.1540-5907.2008.00338.x> 'wordfish' model, as well as methods for correspondence analysis, latent semantic analysis, and fast Naive Bayes and linear 'SVMs' specially designed for sparse textual data.
Maintained by Kenneth Benoit. Last updated 1 months ago.
3.6 match 42 stars 9.56 score 432 scripts
mikkelkrogsholm
ftDK:A Wrapper for the API of the Danish Parliament
A wrapper for the API of the Danish Parliament. It makes it possible to get data from the API easily into a data frame. Learn more at <http://www.ft.dk/dokumenter/aabne_data>.
Maintained by Mikkel Freltoft Krogsholm. Last updated 8 years ago.
7.4 match 9 stars 3.65 score 10 scripts
mcomas
coda.base:A Basic Set of Functions for Compositional Data Analysis
A minimum set of functions to perform compositional data analysis using the log-ratio approach introduced by John Aitchison (1982). Main functions have been implemented in c++ for better performance.
Maintained by Marc Comas-Cufí. Last updated 1 years ago.
3.5 match 7 stars 6.93 score 81 scripts
bnosac
ruimtehol:Learn Text 'Embeddings' with 'Starspace'
Wraps the 'StarSpace' library <https://github.com/facebookresearch/StarSpace> allowing users to calculate word, sentence, article, document, webpage, link and entity 'embeddings'. By using the 'embeddings', you can perform text based multi-label classification, find similarities between texts and categories, do collaborative-filtering based recommendation as well as content-based recommendation, find out relations between entities, calculate graph 'embeddings' as well as perform semi-supervised learning and multi-task learning on plain text. The techniques are explained in detail in the paper: 'StarSpace: Embed All The Things!' by Wu et al. (2017), available at <arXiv:1709.03856>.
Maintained by Jan Wijffels. Last updated 1 years ago.
classificationembeddingsnatural-language-processingnlpsimilaritystarspacetext-miningcpp
3.4 match 101 stars 6.65 score 44 scriptsbnosac
doc2vec:Distributed Representations of Sentences, Documents and Topics
Learn vector representations of sentences, paragraphs or documents by using the 'Paragraph Vector' algorithms, namely the distributed bag of words ('PV-DBOW') and the distributed memory ('PV-DM') model. The techniques in the package are detailed in the paper "Distributed Representations of Sentences and Documents" by Mikolov et al. (2014), available at <arXiv:1405.4053>. The package also provides an implementation to cluster documents based on these embedding using a technique called top2vec. Top2vec finds clusters in text documents by combining techniques to embed documents and words and density-based clustering. It does this by embedding documents in the semantic space as defined by the 'doc2vec' algorithm. Next it maps these document embeddings to a lower-dimensional space using the 'Uniform Manifold Approximation and Projection' (UMAP) clustering algorithm and finds dense areas in that space using a 'Hierarchical Density-Based Clustering' technique (HDBSCAN). These dense areas are the topic clusters which can be represented by the corresponding topic vector which is an aggregate of the document embeddings of the documents which are part of that topic cluster. In the same semantic space similar words can be found which are representative of the topic. More details can be found in the paper 'Top2Vec: Distributed Representations of Topics' by D. Angelov available at <arXiv:2008.09470>.
Maintained by Jan Wijffels. Last updated 3 years ago.
doc2vecembeddingsnatural-language-processingparagraph2vecword2veccpp
3.4 match 48 stars 5.74 score 23 scripts
erocoar
ggpol:Visualizing Social Science Data with 'ggplot2'
A 'ggplot2' extension for implementing parliament charts and several other useful visualizations.
Maintained by Frederik Tiedemann. Last updated 3 years ago.
datavizggplot-extensionggplot2visualization
2.6 match 104 stars 7.00 score 212 scripts 1 dependents
jmanitz
samplingbook:Survey Sampling Procedures
Sampling procedures from the book 'Stichproben - Methoden und praktische Umsetzung mit R' by Goeran Kauermann and Helmut Kuechenhoff (2010).
Maintained by Juliane Manitz. Last updated 4 years ago.
sampling-methodssampling-procedures
3.8 match 2 stars 4.78 score 54 scripts
mathiasambuehl
cna:Causal Modeling with Coincidence Analysis
Provides comprehensive functionalities for causal modeling with Coincidence Analysis (CNA), which is a configurational comparative method of causal data analysis that was first introduced in Baumgartner (2009) <doi:10.1177/0049124109339369>, and generalized in Baumgartner & Ambuehl (2018) <doi:10.1017/psrm.2018.45>. CNA is designed to recover INUS-causation from data, which is particularly relevant for analyzing processes featuring conjunctural causation (component causation) and equifinality (alternative causation). CNA is currently the only method for INUS-discovery that allows for multiple effects (outcomes/endogenous factors), meaning it can analyze common-cause and causal chain structures.
Maintained by Mathias Ambuehl. Last updated 8 months ago.
3.4 match 1 stars 4.78 score 45 scripts 3 dependentsbnosac
tokenizers.bpe:Byte Pair Encoding Text Tokenization
Unsupervised text tokenizer focused on computational efficiency. Wraps the 'YouTokenToMe' library <https://github.com/VKCOM/YouTokenToMe> which is an implementation of fast Byte Pair Encoding (BPE) <https://aclanthology.org/P16-1162/>.
Maintained by Jan Wijffels. Last updated 2 years ago.
bpebyte-pair-encodingtext-miningtokenizationcpp
3.4 match 15 stars 4.56 score 48 scripts
ropengov
hansard:Provides Easy Downloading Capabilities for the UK Parliament API
Provides functions to download data from the <https://explore.data.parliament.uk/> APIs. Because of the structure of the API, there is a named function for each type of available data for ease of use, as well as some functions designed to retrieve specific pieces of commonly used data. Functions for each new API will be added as and when they become available.
Maintained by Evan Odell. Last updated 2 years ago.
5.1 match 1 stars 2.70 score
zumbov2
swissparl:Interface to the Webservices of the Swiss Parliament
Retrieves the most important data on parliamentary activities of the Swiss Federal Assembly via an open, machine-readable interface (see <https://ws.parlament.ch/odata.svc/>).
Maintained by David Zumbach. Last updated 3 years ago.
apiopendatapoliticsswitzerland
3.1 match 33 stars 4.22 score 1 scripts
zmeers
flourishcharts:'Flourish' for 'R' and 'Python'
Interactive data visualization for data practitioners. 'flourishcharts' allows users to visualize their data using 'Flourish' graphs that are grounded in data storytelling principles. Users can create racing bar & line charts, as well as other interactive elements commonly found in 'D3' graphics, easily in 'R' and 'Python'. The package relies on an enterprise API provided by 'Flourish', a data visualization platform <https://developers.flourish.studio/api/introduction/>.
Maintained by Zoe Meers. Last updated 5 months ago.
3.7 match 3.00 score 5 scripts
andrewthomasjones
BoltzMM:Boltzmann Machines with MM Algorithms
Provides probability computation, data generation, and model estimation for fully-visible Boltzmann machines. It follows the methods described in Nguyen and Wood (2016a) <doi:10.1162/NECO_a_00813> and Nguyen and Wood (2016b) <doi:10.1109/TNNLS.2015.2425898>.
Maintained by Andrew Thomas Jones. Last updated 4 years ago.
3.5 match 1 stars 2.93 score 17 scripts
smtorres
GLMpack:Data and Code to Accompany Generalized Linear Models, 2nd Edition
Contains all the data and functions used in Generalized Linear Models, 2nd edition, by Jeff Gill and Michelle Torres. Examples to create all models, tables, and plots are included for each data set.
Maintained by Michelle Torres. Last updated 6 years ago.
3.6 match 1 stars 2.00 score
evanodell
mnis:Easy Downloading Capabilities for the Members' Name Information Service
An API package for the Members' Name Information Service operated by the UK parliament. Documentation for the API itself can be found here: <http://data.parliament.uk/membersdataplatform/default.aspx>.
Maintained by Evan Odell. Last updated 4 years ago.
parliamentary-monitoringpolitical-sciencepoliticianspoliticscpp
0.8 match 4 stars 5.13 score 67 scriptscran
QCApro:Advanced Functionality for Performing and Evaluating Qualitative Comparative Analysis
Provides advanced functionality for performing configurational comparative research with Qualitative Comparative Analysis (QCA), including crisp-set, multi-value, and fuzzy-set QCA. It also offers advanced tools for sensitivity diagnostics and methodological evaluations of QCA.
Maintained by Alrik Thiem. Last updated 7 years ago.
3.6 match 1 stars 1.00 score
jassler
socialranking:Social Ranking Solutions for Power Relations on Coalitions
The notion of power index has been widely used in literature to evaluate the influence of individual players (e.g., voters, political parties, nations, stockholders, etc.) involved in a collective decision situation like an electoral system, a parliament, a council, a management board, etc., where players may form coalitions. Traditionally this ranking is determined through numerical evaluation. More often than not however only ordinal data between coalitions is known. The package 'socialranking' offers a set of solutions to rank players based on a transitive ranking between coalitions, including through CP-Majority, ordinal Banzhaf or lexicographic excellence solution summarized by Tahar Allouche, Bruno Escoffier, Stefano Moretti and Meltem Öztürk (2020, <doi:10.24963/ijcai.2020/3>).
Maintained by Felix Fritz. Last updated 3 days ago.
0.5 match 6 stars 5.08 score 6 scripts