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Package Name Access Summary Updated
dlt public dlt is an open-source python-first scalable data loading library that does not require any backend to run. 2025-09-24
jupyterlite-core public Tools for building JupyterLite sites 2025-09-24
jupyterlite-core-with-translation public Tools for building JupyterLite sites (with translation) 2025-09-24
jupyterlite-core-with-libarchive public Tools for building JupyterLite sites (with libarchive) 2025-09-24
jupyterlite-core-with-check public Tools for building JupyterLite sites (with check) 2025-09-24
jupyterlite-core-with-contents public Tools for building JupyterLite sites (with contents) 2025-09-24
jupyterlite-core-with-serve public Tools for building JupyterLite sites (with serve) 2025-09-24
jupyterlite-core-with-all public Tools for building JupyterLite sites (with all) 2025-09-24
jupyterlite-core-with-lab public Tools for building JupyterLite sites (with jupyterlab) 2025-09-24
r-diffusr public Implementation of network diffusion algorithms such as heat diffusion or Markov random walks. Network diffusion algorithms generally spread information in the form of node weights along the edges of a graph to other nodes. These weights can for example be interpreted as temperature, an initial amount of water, the activation of neurons in the brain, or the location of a random surfer in the internet. The information (node weights) is iteratively propagated to other nodes until a equilibrium state or stop criterion occurs. 2025-09-24
r-clustassess public A set of tools for evaluating clustering robustness using proportion of ambiguously clustered pairs (Senbabaoglu et al. (2014) <doi:10.1038/srep06207>), as well as similarity across methods and method stability using element-centric clustering comparison (Gates et al. (2019) <doi:10.1038/s41598-019-44892-y>). Additionally, this package enables stability-based parameter assessment for graph-based clustering pipelines typical in single-cell data analysis. 2025-09-24
r-fourpno public Estimate Barton & Lord's (1981) <doi:10.1002/j.2333-8504.1981.tb01255.x> four parameter IRT model with lower and upper asymptotes using Bayesian formulation described by Culpepper (2016) <doi:10.1007/s11336-015-9477-6>. 2025-09-24
adios-db public Package for working with data in the NOAA ADIOS Oil Database 2025-09-24
adios_db public Package for working with data in the NOAA ADIOS Oil Database 2025-09-24
r-treeman public S4 class and methods for intuitive and efficient phylogenetic tree manipulation. 2025-09-24
r-netmeta public A comprehensive set of functions providing frequentist methods for network meta-analysis and supporting Schwarzer et al. (2015) <DOI:10.1007/978-3-319-21416-0>, Chapter 8 "Network Meta-Analysis": - frequentist network meta-analysis following Rücker (2012) <DOI:10.1002/jrsm.1058>; - net heat plot and design-based decomposition of Cochran's Q according to Krahn et al. (2013) <DOI:10.1186/1471-2288-13-35>; - measures characterizing the flow of evidence between two treatments by König et al. (2013) <DOI:10.1002/sim.6001>; - ranking of treatments (frequentist analogue of SUCRA) according to Rücker & Schwarzer (2015) <DOI:10.1186/s12874-015-0060-8>; - partial order of treatment rankings ('poset') and Hasse diagram for 'poset' (Carlsen & Bruggemann, 2014) <DOI:10.1002/cem.2569>; (Rücker & Schwarzer, 2017) <DOI:10.1002/jrsm.1270>; - split direct and indirect evidence to check consistency (Dias et al., 2010) <DOI:10.1002/sim.3767>, (Efthimiou et al., 2019) <DOI:10.1002/sim.8158>; - league table with network meta-analysis results; - additive network meta-analysis for combinations of treatments (Rücker et al., 2020) <DOI:10.1002/bimj.201800167>; - network meta-analysis of binary data using the Mantel-Haenszel or non-central hypergeometric distribution method (Efthimiou et al., 2019) <DOI:10.1002/sim.8158>; - 'comparison-adjusted' funnel plot (Chaimani & Salanti, 2012) <DOI:10.1002/jrsm.57>; - automated drawing of network graphs described in Rücker & Schwarzer (2016) <DOI:10.1002/jrsm.1143>; - rankograms and ranking by SUCRA; - contribution matrix as described in Papakonstantinou et al. (2018) <DOI:10.12688/f1000research.14770.3> and Davies et al. (2021) <arXiv:2107.02886>. 2025-09-24
r-workflowr public Provides a workflow for your analysis projects by combining literate programming ('knitr' and 'rmarkdown') and version control ('Git', via 'git2r') to generate a website containing time-stamped, versioned, and documented results. 2025-09-24
r-rferns public Provides the random ferns classifier by Ozuysal, Calonder, Lepetit and Fua (2009) <doi:10.1109/TPAMI.2009.23>, modified for generic and multi-label classification and featuring OOB error approximation and importance measure as introduced in Kursa (2014) <doi:10.18637/jss.v061.i10>. 2025-09-24
r-qdap public Automates many of the tasks associated with quantitative discourse analysis of transcripts containing discourse including frequency counts of sentence types, words, sentences, turns of talk, syllables and other assorted analysis tasks. The package provides parsing tools for preparing transcript data. Many functions enable the user to aggregate data by any number of grouping variables, providing analysis and seamless integration with other R packages that undertake higher level analysis and visualization of text. This affords the user a more efficient and targeted analysis. 'qdap' is designed for transcript analysis, however, many functions are applicable to other areas of Text Mining/ Natural Language Processing. 2025-09-24
r-shinymatrix public Implements a custom matrix input field. 2025-09-24
r-glpkapi public R Interface to C API of GLPK, depends on GLPK Version >= 4.42. 2025-09-24
r-genlasso public Provides fast algorithms for computing the solution path for generalized lasso problems. Important use cases are the fused lasso over an arbitrary graph, and trend fitting of any given polynomial order. Specialized implementations for the latter two problems are given to improve stability and speed. 2025-09-24
r-ggconf public A flexible interface for ggplot2::theme(), potentially saving 50% of your typing. 2025-09-24
r-plackettluce public Functions to prepare rankings data and fit the Plackett-Luce model jointly attributed to Plackett (1975) <doi:10.2307/2346567> and Luce (1959, ISBN:0486441369). The standard Plackett-Luce model is generalized to accommodate ties of any order in the ranking. Partial rankings, in which only a subset of items are ranked in each ranking, are also accommodated in the implementation. Disconnected/weakly connected networks implied by the rankings may be handled by adding pseudo-rankings with a hypothetical item. Optionally, a multivariate normal prior may be set on the log-worth parameters and ranker reliabilities may be incorporated as proposed by Raman and Joachims (2014) <doi:10.1145/2623330.2623654>. Maximum a posteriori estimation is used when priors are set. Methods are provided to estimate standard errors or quasi-standard errors for inference as well as to fit Plackett-Luce trees. See the package website or vignette for further details. 2025-09-24
tiledb public TileDB sparse and dense multi-dimensional array data management 2025-09-24

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