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     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
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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-discretelaplace 1.1.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DiscreteLaplace
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Discrete Laplace Distributions
Description:

Probability mass function, distribution function, quantile function, random generation and estimation for the skew discrete Laplace distributions.

r-ddd 5.2.4
Propagated dependencies: r-subplex@1.9 r-sparsem@1.84-2 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-phytools@2.5-2 r-matrix@1.7-4 r-expm@1.0-0 r-desolve@1.40 r-deoptim@2.2-8 r-bh@1.87.0-1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://rsetienne.github.io/DDD/
Licenses: GPL 3
Build system: r
Synopsis: Diversity-Dependent Diversification
Description:

This package implements maximum likelihood and bootstrap methods based on the diversity-dependent birth-death process to test whether speciation or extinction are diversity-dependent, under various models including various types of key innovations. See Etienne et al. 2012, Proc. Roy. Soc. B 279: 1300-1309, <DOI:10.1098/rspb.2011.1439>, Etienne & Haegeman 2012, Am. Nat. 180: E75-E89, <DOI:10.1086/667574>, Etienne et al. 2016. Meth. Ecol. Evol. 7: 1092-1099, <DOI:10.1111/2041-210X.12565> and Laudanno et al. 2021. Syst. Biol. 70: 389รข 407, <DOI:10.1093/sysbio/syaa048>. Also contains functions to simulate the diversity-dependent process.

r-dcl 0.1.2
Propagated dependencies: r-latticeextra@0.6-31 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=DCL
Licenses: GPL 2
Build system: r
Synopsis: Claims Reserving under the Double Chain Ladder Model
Description:

Statistical modelling and forecasting in claims reserving in non-life insurance under the Double Chain Ladder framework by Martinez-Miranda, Nielsen and Verrall (2012).

r-decode 1.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=decode
Licenses: GPL 3
Build system: r
Synopsis: Differential Co-Expression and Differential Expression Analysis
Description:

Integrated differential expression (DE) and differential co-expression (DC) analysis on gene expression data based on DECODE (DifferEntial CO-expression and Differential Expression) algorithm.

r-dlnm 2.4.10
Propagated dependencies: r-tsmodel@0.6-2 r-nlme@3.1-168 r-mgcv@1.9-4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/gasparrini/dlnm
Licenses: GPL 2+
Build system: r
Synopsis: Distributed Lag Non-Linear Models
Description:

Collection of functions for distributed lag linear and non-linear models.

r-dirichletprocess 0.4.2
Propagated dependencies: r-mvtnorm@1.3-3 r-gtools@3.9.5 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/dm13450/dirichletprocess
Licenses: GPL 3
Build system: r
Synopsis: Build Dirichlet Process Objects for Bayesian Modelling
Description:

Perform nonparametric Bayesian analysis using Dirichlet processes without the need to program the inference algorithms. Utilise included pre-built models or specify custom models and allow the dirichletprocess package to handle the Markov chain Monte Carlo sampling. Our Dirichlet process objects can act as building blocks for a variety of statistical models including and not limited to: density estimation, clustering and prior distributions in hierarchical models. See Teh, Y. W. (2011) <https://www.stats.ox.ac.uk/~teh/research/npbayes/Teh2010a.pdf>, among many other sources.

r-diffeqr 2.1.0
Dependencies: julia@1.8.5
Propagated dependencies: r-juliacall@0.17.6
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/SciML/diffeqr
Licenses: Expat
Build system: r
Synopsis: Solving Differential Equations (ODEs, SDEs, DDEs, DAEs)
Description:

An interface to DifferentialEquations.jl <https://diffeq.sciml.ai/dev/> from the R programming language. It has unique high performance methods for solving ordinary differential equations (ODE), stochastic differential equations (SDE), delay differential equations (DDE), differential-algebraic equations (DAE), and more. Much of the functionality, including features like adaptive time stepping in SDEs, are unique and allow for multiple orders of magnitude speedup over more common methods. Supports GPUs, with support for CUDA (NVIDIA), AMD GPUs, Intel oneAPI GPUs, and Apple's Metal (M-series chip GPUs). diffeqr attaches an R interface onto the package, allowing seamless use of this tooling by R users. For more information, see Rackauckas and Nie (2017) <doi:10.5334/jors.151>.

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-dots 0.0.3
Propagated dependencies: r-terra@1.8-86 r-sp@2.2-0 r-sf@1.0-23 r-rmapshaper@0.5.0 r-rlang@1.1.6 r-purrr@1.2.0 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/christopherkenny/dots
Licenses: Expat
Build system: r
Synopsis: Dot Density Maps
Description:

Generate point data for representing people within spatial data. This collects a suite of tools for creating simple dot density maps. Several functions from different spatial packages are standardized to take the same arguments so that they can be easily substituted for each other.

r-disscqn 0.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://murphymv.github.io/dissCqN/
Licenses: GPL 3+
Build system: r
Synopsis: Multiple Assemblage Dissimilarity for Orders q = 0-N
Description:

Calculate multiple or pairwise dissimilarity for orders q = 0-N (CqN; Chao et al. 2008 <doi:10/fcvn63>) for a set of species assemblages or interaction networks.

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-detpack 1.1.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=detpack
Licenses: GPL 2
Build system: r
Synopsis: Density Estimation and Random Number Generation with Distribution Element Trees
Description:

Density estimation for possibly large data sets and conditional/unconditional random number generation or bootstrapping with distribution element trees. The function det.construct translates a dataset into a distribution element tree. To evaluate the probability density based on a previously computed tree at arbitrary query points, the function det.query is available. The functions det1 and det2 provide density estimation and plotting for one- and two-dimensional datasets. Conditional/unconditional smooth bootstrapping from an available distribution element tree can be performed by det.rnd'. For more details on distribution element trees, see: Meyer, D.W. (2016) <arXiv:1610.00345> or Meyer, D.W., Statistics and Computing (2017) <doi:10.1007/s11222-017-9751-9> and Meyer, D.W. (2017) <arXiv:1711.04632> or Meyer, D.W., Journal of Computational and Graphical Statistics (2018) <doi:10.1080/10618600.2018.1482768>.

r-dem 0.0.0.2
Propagated dependencies: r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DEM
Licenses: Expat
Build system: r
Synopsis: The Distributed EM Algorithms in Multivariate Gaussian Mixture Models
Description:

The distributed expectation maximization algorithms are used to solve parameters of multivariate Gaussian mixture models. The philosophy of the package is described in Guo, G. (2022) <doi:10.1080/02664763.2022.2053949>.

r-dosresmeta 2.2.0
Propagated dependencies: r-mixmeta@1.2.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://alecri.github.io/software/dosresmeta.html
Licenses: GPL 2
Build system: r
Synopsis: Multivariate Dose-Response Meta-Analysis
Description:

Estimates dose-response relations from summarized dose-response data and to combines them according to principles of (multivariate) random-effects models.

r-dqastats 0.3.9
Propagated dependencies: r-tinytex@0.58 r-quarto@1.5.1 r-parsedate@1.3.2 r-magrittr@2.0.4 r-knitr@1.50 r-kableextra@1.4.0 r-jsonlite@2.0.0 r-future-apply@1.20.0 r-dizutils@0.1.3 r-diztools@1.0.3 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/miracum/dqa-dqastats
Licenses: GPL 3
Build system: r
Synopsis: Core Functions for Data Quality Assessment
Description:

Perform data quality assessment ('DQA') of electronic health records ('EHR'). Publication: Kapsner et al. (2021) <doi:10.1055/s-0041-1733847>.

r-depmod 0.1.0
Propagated dependencies: r-tidyverse@2.0.0 r-shiny@1.11.1 r-here@1.0.2 r-dt@0.34.0 r-diagrammer@1.0.11 r-bslib@0.9.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DepMod
Licenses: Expat
Build system: r
Synopsis: Decision-Analytic Modelling for Depression Prevention and Treatment
Description:

This package provides functions and example datasets to run a decision-analytic model for prevention and treatment strategies across depression severity states (sub-clinical, mild, moderate, severe, and recurrent). The package supports scenario analyses (base and alternative inputs) and summarises outcomes such as coverage, adherence, effect sizes, and healthcare costs.

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-dendser 1.0.3
Propagated dependencies: r-seriation@1.5.8 r-gclus@1.3.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DendSer
Licenses: GPL 2
Build system: r
Synopsis: Dendrogram Seriation: Ordering for Visualisation
Description:

Re-arranges a dendrogram to optimize visualisation-based cost functions. The methods implemented here are described in "Advances in Dendrogram Seriation for Application to Visualization", Journal of Computational and Graphical Statistics (2015) D. Earle and C.B. Hurley <doi:10.1080/10618600.2013.874295>.

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-dsims 1.0.6
Propagated dependencies: r-sf@1.0-23 r-rstudioapi@0.17.1 r-rlang@1.1.6 r-purrr@1.2.0 r-mrds@3.0.1 r-mgcv@1.9-4 r-gridextra@2.3 r-ggplot2@4.0.1 r-dssd@1.0.3 r-dplyr@1.1.4 r-distance@2.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/DistanceDevelopment/dsims
Licenses: GPL 2+
Build system: r
Synopsis: Distance Sampling Simulations
Description:

This package performs distance sampling simulations. dsims repeatedly generates instances of a user defined population within a given survey region. It then generates realisations of a survey design and simulates the detection process. The data are then analysed so that the results can be compared for accuracy and precision across all replications. This process allows users to optimise survey designs for their specific set of survey conditions. The effects of uncertainty in population distribution or parameters can be investigated under a number of simulations so that users can be confident that they have achieved a robust survey design before deploying vessels into the field. The distance sampling designs used in this package from dssd are detailed in Chapter 7 of Advanced Distance Sampling, Buckland et. al. (2008, ISBN-13: 978-0199225873). General distance sampling methods are detailed in Introduction to Distance Sampling: Estimating Abundance of Biological Populations, Buckland et. al. (2004, ISBN-13: 978-0198509271). Find out more about estimating animal/plant abundance with distance sampling at <https://distancesampling.org/>.

r-dartr-popgen 1.0.0
Propagated dependencies: r-stringr@1.6.0 r-patchwork@1.3.2 r-mass@7.3-65 r-ggplot2@4.0.1 r-ggdendro@0.2.0 r-future@1.68.0 r-furrr@0.3.1 r-dplyr@1.1.4 r-data-table@1.17.8 r-dartr-data@1.0.8 r-dartr-base@1.0.7 r-crayon@1.5.3 r-adegenet@2.1.11
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://green-striped-gecko.github.io/dartR/
Licenses: GPL 3+
Build system: r
Synopsis: Analysing 'SNP' and 'Silicodart' Data Generated by Genome-Wide Restriction Fragment Analysis
Description:

Facilitates the analysis of SNP (single nucleotide polymorphism) and silicodart (presence/absence) data. dartR.popgen provides a suit of functions to analyse such data in a population genetics context. It provides several functions to calculate population genetic metrics and to study population structure. Quite a few functions need additional software to be able to run (gl.run.structure(), gl.blast(), gl.LDNe()). You find detailed description in the help pages how to download and link the packages so the function can run the software. dartR.popgen is part of the the dartRverse suit of packages. Gruber et al. (2018) <doi:10.1111/1755-0998.12745>. Mijangos et al. (2022) <doi:10.1111/2041-210X.13918>.

r-dc3net 1.2.0
Propagated dependencies: r-igraph@2.2.1 r-c3net@1.1.1.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dc3net
Licenses: GPL 3+
Build system: r
Synopsis: Inferring Condition-Specific Networks via Differential Network Inference
Description:

This package performs differential network analysis to infer disease specific gene networks.

r-dbgapcheckup 1.1.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rmarkdown@2.30 r-rlang@1.1.6 r-readxl@1.4.5 r-questionr@0.8.2 r-purrr@1.2.0 r-pander@0.6.6 r-naniar@1.1.0 r-magrittr@2.0.4 r-labelled@2.16.0 r-ggplot2@4.0.1 r-formatr@1.14 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://lwheinsberg.github.io/dbGaPCheckup/
Licenses: GPL 2
Build system: r
Synopsis: dbGaP Checkup
Description:

This package contains functions that check for formatting of the Subject Phenotype data set and data dictionary as specified by the National Center for Biotechnology Information (NCBI) Database of Genotypes and Phenotypes (dbGaP) <https://www.ncbi.nlm.nih.gov/gap/docs/submissionguide/>.

r-directedclustering 1.0.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DirectedClustering
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Directed Weighted Clustering Coefficient
Description:

Allows the computation of clustering coefficients for directed and weighted networks by using different approaches. It allows to compute clustering coefficients that are not present in igraph package. A description of clustering coefficients can be found in "Directed clustering in weighted networks: a new perspective", Clemente, G.P., Grassi, R. (2017), <doi:10.1016/j.chaos.2017.12.007>.

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