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Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.

API method:

GET /api/packages?search=hello&page=1&limit=20

where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned in response headers.

If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-demography 2.0.1
Propagated dependencies: r-strucchange@1.5-4 r-rainbow@3.8 r-mgcv@1.9-4 r-hmdhfdplus@2.0.8 r-ftsa@6.6 r-forecast@8.24.0 r-cobs@1.3-9-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://pkg.robjhyndman.com/demography/
Licenses: GPL 3+
Build system: r
Synopsis: Forecasting Mortality, Fertility, Migration and Population Data
Description:

This package provides functions for demographic analysis including lifetable calculations; Lee-Carter modelling; functional data analysis of mortality rates, fertility rates, net migration numbers; and stochastic population forecasting.

r-dataspacer 0.7.7
Propagated dependencies: r-rlabkey@3.4.5 r-r6@2.6.1 r-jsonlite@2.0.0 r-httr@1.4.7 r-digest@0.6.39 r-data-table@1.17.8 r-curl@7.0.0 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://docs.ropensci.org/DataSpaceR/
Licenses: GPL 3
Build system: r
Synopsis: Interface to 'the CAVD DataSpace'
Description:

This package provides a convenient API interface to access immunological data within the CAVD DataSpace'(<https://dataspace.cavd.org>), a data sharing and discovery tool that facilitates exploration of HIV immunological data from pre-clinical and clinical HIV vaccine studies.

r-deident 1.0.0
Propagated dependencies: r-yaml@2.3.10 r-withr@3.0.2 r-tidyselect@1.2.1 r-stringr@1.6.0 r-rlang@1.1.6 r-readr@2.1.6 r-r6@2.6.1 r-purrr@1.2.0 r-openxlsx@4.2.8.1 r-openssl@2.3.4 r-lemon@0.5.2 r-glue@1.8.0 r-fs@1.6.6 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=deident
Licenses: Expat
Build system: r
Synopsis: Persistent Data Anonymization Pipeline
Description:

This package provides a framework for the replicable removal of personally identifiable data (PID) in data sets. The package implements a suite of methods to suit different data types based on the suggestions of Garfinkel (2015) <doi:10.6028/NIST.IR.8053> and the ICO "Guidelines on Anonymization" (2012) <https://ico.org.uk/media/1061/anonymisation-code.pdf>.

r-devore7 0.7.6
Propagated dependencies: r-mass@7.3-65 r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=Devore7
Licenses: GPL 2+
Build system: r
Synopsis: Data sets from Devore's "Prob and Stat for Eng (7th ed)"
Description:

Data sets and sample analyses from Jay L. Devore (2008), "Probability and Statistics for Engineering and the Sciences (7th ed)", Thomson.

r-duckduckr 1.0.0
Propagated dependencies: r-jsonlite@2.0.0 r-crul@1.6.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/dirkschumacher/duckduckr
Licenses: Expat
Build system: r
Synopsis: Simple Client for the DuckDuckGo Instant Answer API
Description:

Programmatic access to the DuckDuckGo Instant Answer API <https://api.duckduckgo.com/api>.

r-dcca 0.1.1
Propagated dependencies: r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DCCA
Licenses: GPL 3+
Build system: r
Synopsis: Detrended Fluctuation and Detrended Cross-Correlation Analysis
Description:

This package provides a collection of functions to perform Detrended Fluctuation Analysis (DFA) and Detrended Cross-Correlation Analysis (DCCA). This package implements the results presented in Prass, T.S. and Pumi, G. (2019). "On the behavior of the DFA and DCCA in trend-stationary processes" <arXiv:1910.10589>.

r-dr 3.0.11
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://CRAN.R-project.org/package=dr
Licenses: GPL 2+
Build system: r
Synopsis: Methods for Dimension Reduction for Regression
Description:

Functions, methods, and datasets for fitting dimension reduction regression, using slicing (methods SAVE and SIR), Principal Hessian Directions (phd, using residuals and the response), and an iterative IRE. Partial methods, that condition on categorical predictors are also available. A variety of tests, and stepwise deletion of predictors, is also included. Also included is code for computing permutation tests of dimension. Adding additional methods of estimating dimension is straightforward. For documentation, see the vignette in the package. With version 3.0.4, the arguments for dr.step have been modified.

r-distrrmetrics 2.8.3
Propagated dependencies: r-startupmsg@1.0.0 r-fgarch@4052.93 r-fbasics@4041.97 r-distr@2.9.7
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: http://distr.r-forge.r-project.org/
Licenses: LGPL 3
Build system: r
Synopsis: Distribution Classes for Distributions from Rmetrics
Description:

S4-distribution classes based on package distr for distributions from packages fBasics and fGarch'.

r-dykstra 1.0-0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=Dykstra
Licenses: GPL 2+
Build system: r
Synopsis: Quadratic Programming using Cyclic Projections
Description:

Solves quadratic programming problems using Richard L. Dykstra's cyclic projection algorithm. Routine allows for a combination of equality and inequality constraints. See Dykstra (1983) <doi:10.1080/01621459.1983.10477029> for details.

r-distance 2.0.1
Propagated dependencies: r-rlang@1.1.6 r-rdpack@2.6.4 r-mrds@3.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/DistanceDevelopment/Distance/
Licenses: GPL 2+
Build system: r
Synopsis: Distance Sampling Detection Function and Abundance Estimation
Description:

This package provides a simple way of fitting detection functions to distance sampling data for both line and point transects. Adjustment term selection, left and right truncation as well as monotonicity constraints and binning are supported. Abundance and density estimates can also be calculated (via a Horvitz-Thompson-like estimator) if survey area information is provided. See Miller et al. (2019) <doi:10.18637/jss.v089.i01> for more information on methods and <https://distancesampling.org/resources/vignettes.html> for example analyses.

r-dosearch 1.0.12
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/santikka/dosearch
Licenses: GPL 3+
Build system: r
Synopsis: Causal Effect Identification from Multiple Incomplete Data Sources
Description:

Identification of causal effects from arbitrary observational and experimental probability distributions via do-calculus and standard probability manipulations using a search-based algorithm by Tikka, Hyttinen and Karvanen (2021) <doi:10.18637/jss.v099.i05>. Allows for the presence of mechanisms related to selection bias (Bareinboim and Tian, 2015) <doi:10.1609/aaai.v29i1.9679>, transportability (Bareinboim and Pearl, 2014) <http://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf>, missing data (Mohan, Pearl, and Tian, 2013) <http://ftp.cs.ucla.edu/pub/stat_ser/r410.pdf>) and arbitrary combinations of these. Also supports identification in the presence of context-specific independence (CSI) relations through labeled directed acyclic graphs (LDAG). For details on CSIs see (Corander et al., 2019) <doi:10.1016/j.apal.2019.04.004>.

r-dr4pl 2.0.0
Propagated dependencies: r-tensor@1.5.1 r-rlang@1.1.6 r-rdpack@2.6.4 r-matrix@1.7-4 r-glue@1.8.0 r-ggplot2@4.0.1 r-generics@0.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://bitbucket.org/dittmerlab/dr4pl
Licenses: GPL 2+
Build system: r
Synopsis: Dose Response Data Analysis using the 4 Parameter Logistic (4pl) Model
Description:

Models the relationship between dose levels and responses in a pharmacological experiment using the 4 Parameter Logistic model. Traditional packages on dose-response modelling such as drc and nplr often draw errors due to convergence failure especially when data have outliers or non-logistic shapes. This package provides robust estimation methods that are less affected by outliers and other initialization methods that work well for data lacking logistic shapes. We provide the bounds on the parameters of the 4PL model that prevent parameter estimates from diverging or converging to zero and base their justification in a statistical principle. These methods are used as remedies to convergence failure problems. Gadagkar, S. R. and Call, G. B. (2015) <doi:10.1016/j.vascn.2014.08.006> Ritz, C. and Baty, F. and Streibig, J. C. and Gerhard, D. (2015) <doi:10.1371/journal.pone.0146021>.

r-disprity 1.9
Propagated dependencies: r-zoo@1.8-14 r-vegan@2.7-2 r-scales@1.4.0 r-phylolm@2.6.5 r-phyclust@0.1-34 r-phangorn@2.12.1 r-mnormt@2.1.1 r-mass@7.3-65 r-get@1.0-7 r-geometry@0.5.2 r-ellipse@0.5.0 r-claddis@0.7.0 r-castor@1.8.4 r-ape@5.8-1 r-ade4@1.7-23
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/TGuillerme/dispRity
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Measuring Disparity
Description:

This package provides a modular package for measuring disparity (multidimensional space occupancy). Disparity can be calculated from any matrix defining a multidimensional space. The package provides a set of implemented metrics to measure properties of the space and allows users to provide and test their own metrics. The package also provides functions for looking at disparity in a serial way (e.g. disparity through time) or per groups as well as visualising the results. Finally, this package provides several statistical tests for disparity analysis.

r-daly 1.5.0
Dependencies: tcl@8.6.12
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: http://daly.cbra.be
Licenses: GPL 2+
Build system: r
Synopsis: The DALY Calculator - Graphical User Interface for Probabilistic DALY Calculation in R
Description:

The DALY Calculator is a free, open-source Graphical User Interface (GUI) for stochastic disability-adjusted life year (DALY) calculation.

r-ddml 0.3.1
Propagated dependencies: r-xgboost@1.7.11.1 r-ranger@0.17.0 r-quadprog@1.5-8 r-nnls@1.6 r-matrix@1.7-4 r-mass@7.3-65 r-glmnet@4.1-10 r-aer@1.2-15
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/thomaswiemann/ddml
Licenses: GPL 3+
Build system: r
Synopsis: Double/Debiased Machine Learning
Description:

Estimate common causal parameters using double/debiased machine learning as proposed by Chernozhukov et al. (2018) <doi:10.1111/ectj.12097>. ddml simplifies estimation based on (short-)stacking as discussed in Ahrens et al. (2024) <doi:10.1002/jae.3103>, which leverages multiple base learners to increase robustness to the underlying data generating process.

r-dosedesignr 0.3.0
Propagated dependencies: r-stringr@1.6.0 r-shinywidgets@0.9.0 r-shinyjs@2.1.0 r-shinybs@0.61.1 r-shiny@1.11.1 r-rsolnp@2.0.1 r-readxl@1.4.5 r-purrr@1.2.0 r-latticeextra@0.6-31 r-knitr@1.50 r-kableextra@1.4.0 r-ggplot2@4.0.1 r-dt@0.34.0 r-dosefinding@1.4-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dosedesignR
Licenses: GPL 3
Build system: r
Synopsis: Interactive Designing of Dose Finding Studies
Description:

This package provides the user with an interactive application which can be used to facilitate the planning of dose finding studies by applying the theory of optimal experimental design.

r-dstabledist 0.1.0
Propagated dependencies: r-stabledist@0.7-2 r-rdpack@2.6.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dstabledist
Licenses: GPL 3
Build system: r
Synopsis: The Discrete Stable Distribution Functions
Description:

Probability generating function, formulae for the probabilities (discrete density) and random generation for discrete stable random variables.

r-driver 0.5.0
Propagated dependencies: r-s4vectors@0.48.0 r-rlang@1.1.6 r-randomforest@4.7-1.2 r-genomicranges@1.62.0 r-genomicfeatures@1.62.0 r-genomeinfodb@1.46.0 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://egeulgen.github.io/driveR/
Licenses: Expat
Build system: r
Synopsis: Prioritizing Cancer Driver Genes Using Genomics Data
Description:

Cancer genomes contain large numbers of somatic alterations but few genes drive tumor development. Identifying cancer driver genes is critical for precision oncology. Most of current approaches either identify driver genes based on mutational recurrence or using estimated scores predicting the functional consequences of mutations. driveR is a tool for personalized or batch analysis of genomic data for driver gene prioritization by combining genomic information and prior biological knowledge. As features, driveR uses coding impact metaprediction scores, non-coding impact scores, somatic copy number alteration scores, hotspot gene/double-hit gene condition, phenolyzer gene scores and memberships to cancer-related KEGG pathways. It uses these features to estimate cancer-type-specific probability for each gene of being a cancer driver using the related task of a multi-task learning classification model. The method is described in detail in Ulgen E, Sezerman OU. 2021. driveR: driveR: a novel method for prioritizing cancer driver genes using somatic genomics data. BMC Bioinformatics <doi:10.1186/s12859-021-04203-7>.

r-dsem 1.7.0
Propagated dependencies: r-tmb@1.9.18 r-sem@3.1-16 r-rtmb@1.8 r-rcppeigen@0.3.4.0.2 r-matrix@1.7-4 r-igraph@2.2.1 r-ggraph@2.2.2 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://james-thorson-noaa.github.io/dsem/
Licenses: GPL 3
Build system: r
Synopsis: Dynamic Structural Equation Models
Description:

Applies dynamic structural equation models to time-series data with generic and simplified specification for simultaneous and lagged effects. Methods are described in Thorson et al. (2024) "Dynamic structural equation models synthesize ecosystem dynamics constrained by ecological mechanisms.".

r-dragular 0.3.1
Propagated dependencies: r-shinyjs@2.1.0 r-shiny@1.11.1 r-htmlwidgets@1.6.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://dragular.zstat.pl/
Licenses: GPL 2
Build system: r
Synopsis: Drag and Drop Elements in 'Shiny' using 'Dragula Javascript Library'
Description:

Move elements between containers in Shiny without explicitly using JavaScript'. It can be used to build custom inputs or to change the positions of user interface elements like plots or tables.

r-dnr 0.3.5
Propagated dependencies: r-sna@2.8 r-network@1.19.0 r-igraph@2.2.1 r-glmnet@4.1-10 r-ergm@4.11.0 r-arm@1.14-4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dnr
Licenses: GPL 3
Build system: r
Synopsis: Simulate Dynamic Networks using Exponential Random Graph Models (ERGM) Family
Description:

This package provides functions are provided to fit temporal lag models to dynamic networks. The models are build on top of exponential random graph models (ERGM) framework. There are functions for simulating or forecasting networks for future time points. Abhirup Mallik & Zack W. Almquist (2019) Stable Multiple Time Step Simulation/Prediction From Lagged Dynamic Network Regression Models, Journal of Computational and Graphical Statistics, 28:4, 967-979, <DOI: 10.1080/10618600.2019.1594834>.

r-disclosur 0.6.0
Propagated dependencies: r-zoo@1.8-14 r-tm@0.7-16 r-syuzhet@1.0.7 r-stringr@1.6.0 r-stringi@1.8.7 r-snowballc@0.7.1 r-sentimentanalysis@1.3-5 r-rlang@1.1.6 r-qdap@2.4.6.1 r-pdftools@3.6.0 r-lubridate@1.9.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=disclosuR
Licenses: GPL 3
Build system: r
Synopsis: Text Conversion from Nexis Uni PDFs to R Data Frames
Description:

Transform newswire and earnings call transcripts as PDF obtained from Nexis Uni to R data frames. Various newswires and FairDisclosure earnings call formats are supported. Further, users can apply several pre-defined dictionaries on the data based on Graffin et al. (2016)<doi:10.5465/amj.2013.0288> and Gamache et al. (2015)<doi:10.5465/amj.2013.0377>.

r-dedupewider 0.1.1
Propagated dependencies: r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/gsmolinski/dedupewider
Licenses: Expat
Build system: r
Synopsis: Deduplication Across Multiple Columns
Description:

Duplicated data can exist in different rows and columns and user may need to treat observations (rows) connected by duplicated data as one observation, e.g. companies can belong to one family (and thus: be one company) by sharing some telephone numbers. This package allows to find connected rows based on data on chosen columns and collapse it into one row.

r-divvy 1.0.1
Propagated dependencies: r-vegan@2.7-2 r-units@1.0-0 r-terra@1.8-86 r-sf@1.0-23 r-rdpack@2.6.4 r-inext@3.0.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://gawainantell.github.io/divvy/
Licenses: GPL 3+
Build system: r
Synopsis: Spatial Subsampling of Biodiversity Occurrence Data
Description:

Divide taxonomic occurrence data into geographic regions of fair comparison, with three customisable methods to standardise area and extent. Calculate common biodiversity and range-size metrics on subsampled data. Background theory and practical considerations for the methods are described in Antell and others (2024) <doi:10.1017/pab.2023.36>.

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