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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-dhsage 0.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dhsage
Licenses: GPL 2+
Build system: r
Synopsis: Reproductive Age Female Data of Various Demographic Health Surveys
Description:

We provide 70 data sets of females of reproductive age from 19 Asian countries, ranging in age from 15 to 49. The data sets are extracted from demographic and health surveys that were conducted over an extended period of time. Moreover, the functions also provide Whippleâ s index as well as age reporting quality such as very rough, rough, approximate, accurate, and highly accurate.

r-dam 0.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dam
Licenses: CC0
Build system: r
Synopsis: Data Analysis Metabolomics
Description:

This package provides a collection of functions which aim to assist common computational workflow for analysis of matabolomic data..

r-difconet 1.0-4
Propagated dependencies: r-stringr@1.6.0 r-mvtnorm@1.3-3 r-gplots@3.2.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: http://bioinformatica.mty.itesm.mx/difconet
Licenses: GPL 2+
Build system: r
Synopsis: Differential Coexpressed Networks
Description:

Estimation of DIFferential COexpressed NETworks using diverse and user metrics. This package is basically used for three functions related to the estimation of differential coexpression. First, to estimate differential coexpression where the coexpression is estimated, by default, by Spearman correlation. For this, a metric to compare two correlation distributions is needed. The package includes 6 metrics. Some of them needs a threshold. A new metric can also be specified as a user function with specific parameters (see difconet.run). The significance is be estimated by permutations. Second, to generate datasets with controlled differential correlation data. This is done by either adding noise, or adding specific correlation structure. Third, to show the results of differential correlation analyses. Please see <http://bioinformatica.mty.itesm.mx/difconet> for further information.

r-diegr 0.2.0
Propagated dependencies: r-tidyr@1.3.1 r-sp@2.2-0 r-scales@1.4.0 r-rlang@1.1.6 r-rgl@1.3.31 r-purrr@1.2.0 r-plotly@4.11.0 r-ggplot2@4.0.1 r-gganimate@1.0.11 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=diegr
Licenses: Expat
Build system: r
Synopsis: Dynamic and Interactive EEG Graphics
Description:

Allows to visualize high-density electroencephalography (HD-EEG) data through interactive plots and animations, enabling exploratory and communicative analysis of temporal-spatial brain signals. Funder: Masaryk University (Grant No. MUNI/A/1457/2023).

r-dinamic 1.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dinamic
Licenses: GPL 3
Build system: r
Synopsis: Method to Analyze Recurrent DNA Copy Number Aberrations in Tumors
Description:

In tumor tissue, underlying genomic instability can lead to DNA copy number alterations, e.g., copy number gains or losses. Sporadic copy number alterations occur randomly throughout the genome, whereas recurrent alterations are observed in the same genomic region across multiple independent samples, perhaps because they provide a selective growth advantage. This package implements the DiNAMIC procedure for assessing the statistical significance of recurrent DNA copy number aberrations (Bioinformatics (2011) 27(5) 678 - 685).

r-dat 0.7.0
Propagated dependencies: r-progress@1.2.3 r-magrittr@2.0.4 r-formula@1.2-5 r-data-table@1.17.8 r-aoos@0.5.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dat
Licenses: Expat
Build system: r
Synopsis: Tools for Data Manipulation
Description:

An implementation of common higher order functions with syntactic sugar for anonymous function. Provides also a link to dplyr and data.table for common transformations on data frames to work around non standard evaluation by default.

r-decompr 6.4.0
Propagated dependencies: r-matrixstats@1.5.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://qua.st/decompr/
Licenses: GPL 3
Build system: r
Synopsis: Global Value Chain Decomposition
Description:

Three global value chain (GVC) decompositions are implemented. The Leontief decomposition derives the value added origin of exports by country and industry as in Hummels, Ishii and Yi (2001). The Koopman, Wang and Wei (2014) decomposition splits country-level exports into 9 value added components, and the Wang, Wei and Zhu (2013) decomposition splits bilateral exports into 16 value added components. Various GVC indicators based on these decompositions are computed in the complimentary gvc package. --- References: --- Hummels, D., Ishii, J., & Yi, K. M. (2001). The nature and growth of vertical specialization in world trade. Journal of international Economics, 54(1), 75-96. Koopman, R., Wang, Z., & Wei, S. J. (2014). Tracing value-added and double counting in gross exports. American Economic Review, 104(2), 459-94. Wang, Z., Wei, S. J., & Zhu, K. (2013). Quantifying international production sharing at the bilateral and sector levels (No. w19677). National Bureau of Economic Research.

r-digitalpcr 1.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=digitalPCR
Licenses: GPL 2
Build system: r
Synopsis: Estimate Copy Number for Digital PCR
Description:

The assay sensitivity is the minimum number of copies that the digital PCR assay can detect. Users provide serial dilution results in the format of counts of positive and total reaction wells. The output is the estimated assay sensitivity and the copy number per well in the initial dilute.

r-datetimeutils 0.6-6
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://enricoschumann.net/R/packages/datetimeutils/
Licenses: GPL 3
Build system: r
Synopsis: Utilities for Dates and Times
Description:

Utilities for handling dates and times, such as selecting particular days of the week or month, formatting timestamps as required by RSS feeds, or converting timestamp representations of other software (such as MATLAB and Excel') to R. The package is lightweight (no dependencies, pure R implementations) and relies only on R's standard classes to represent dates and times ('Date and POSIXt'); it aims to provide efficient implementations, through vectorisation and the use of R's native numeric representations of timestamps where possible.

r-dobin 1.0.4
Propagated dependencies: r-pracma@2.4.6 r-ggplot2@4.0.1 r-dbscan@1.2.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://sevvandi.github.io/dobin/
Licenses: Expat
Build system: r
Synopsis: Dimension Reduction for Outlier Detection
Description:

This package provides a dimension reduction technique for outlier detection. DOBIN: a Distance based Outlier BasIs using Neighbours, constructs a set of basis vectors for outlier detection. This is not an outlier detection method; rather it is a pre-processing method for outlier detection. It brings outliers to the fore-front using fewer basis vectors (Kandanaarachchi, Hyndman 2020) <doi:10.1080/10618600.2020.1807353>.

r-datana 1.1.5
Propagated dependencies: r-scales@1.4.0 r-hmisc@5.2-4 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=datana
Licenses: GPL 3+
Build system: r
Synopsis: Datasets and Functions to Accompany Analisis De Datos Con R
Description:

Datasets and functions to accompany the book Analisis de datos con el programa estadistico R: una introduccion aplicada by Salas-Eljatib (2021, ISBN: 9789566086109). The package helps carry out data management, exploratory analyses, and model fitting.

r-data-table-threads 1.0.1
Propagated dependencies: r-microbenchmark@1.5.0 r-ggplot2@4.0.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/Anirban166/data.table.threads
Licenses: Expat
Build system: r
Synopsis: Analyze Multi-Threading Performance for 'data.table' Functions
Description:

Assists in finding the most suitable thread count for the various data.table routines that support parallel processing.

r-dregar 0.1.4.0
Propagated dependencies: r-msgps@1.3.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DREGAR
Licenses: GPL 2+
Build system: r
Synopsis: Regularized Estimation of Dynamic Linear Regression in the Presence of Autocorrelated Residuals (DREGAR)
Description:

This package provides a penalized/non-penalized implementation for dynamic regression in the presence of autocorrelated residuals (DREGAR) using iterative penalized/ordinary least squares. It applies Mallows CP, AIC, BIC and GCV to select the tuning parameters.

r-dccmidas 0.1.2
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-rumidas@0.1.3 r-rugarch@1.5-4 r-roll@1.2.0 r-rdpack@2.6.4 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-maxlik@1.5-2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dccmidas
Licenses: GPL 3
Build system: r
Synopsis: DCC Models with GARCH and GARCH-MIDAS Specifications in the Univariate Step, RiskMetrics, Moving Covariance and Scalar and Diagonal BEKK Models
Description:

Estimates a variety of Dynamic Conditional Correlation (DCC) models. More in detail, the dccmidas package allows the estimation of the corrected DCC (cDCC) of Aielli (2013) <doi:10.1080/07350015.2013.771027>, the DCC-MIDAS of Colacito et al. (2011) <doi:10.1016/j.jeconom.2011.02.013>, the Asymmetric DCC of Cappiello et al. <doi:10.1093/jjfinec/nbl005>, and the Dynamic Equicorrelation (DECO) of Engle and Kelly (2012) <doi:10.1080/07350015.2011.652048>. dccmidas offers the possibility of including standard GARCH <doi:10.1016/0304-4076(86)90063-1>, GARCH-MIDAS <doi:10.1162/REST_a_00300> and Double Asymmetric GARCH-MIDAS <doi:10.1016/j.econmod.2018.07.025> models in the univariate estimation. Moreover, also the scalar and diagonal BEKK <doi:10.1017/S0266466600009063> models can be estimated. Finally, the package calculates also the var-cov matrix under two non-parametric models: the Moving Covariance and the RiskMetrics specifications.

r-dialr 0.4.2
Dependencies: openjdk@25
Propagated dependencies: r-rjava@1.0-11 r-dialrjars@9.0.21
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://socialresearchcentre.github.io/dialr/
Licenses: GPL 3+
Build system: r
Synopsis: Parse, Format, and Validate International Phone Numbers
Description:

Parse, format, and validate international phone numbers using Google's libphonenumber java library, <https://github.com/google/libphonenumber>.

r-dynamicsdm 1.3.4
Propagated dependencies: r-tidyr@1.3.1 r-terra@1.8-86 r-sf@1.0-23 r-rgee@1.1.8 r-reticulate@1.44.1 r-readr@2.1.6 r-magrittr@2.0.4 r-lubridate@1.9.4 r-googledrive@2.1.2 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/r-a-dobson/dynamicSDM
Licenses: GPL 3+
Build system: r
Synopsis: Species Distribution and Abundance Modelling at High Spatio-Temporal Resolution
Description:

This package provides a collection of novel tools for generating species distribution and abundance models (SDM) that are dynamic through both space and time. These highly flexible functions incorporate spatial and temporal aspects across key SDM stages; including when cleaning and filtering species occurrence data, generating pseudo-absence records, assessing and correcting sampling biases and autocorrelation, extracting explanatory variables and projecting distribution patterns. Throughout, functions utilise Google Earth Engine and Google Drive to minimise the computing power and storage demands associated with species distribution modelling at high spatio-temporal resolution.

r-dymo 2.0.0
Propagated dependencies: r-rlang@1.1.6 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://rpubs.com/giancarlo_vercellino/dymo
Licenses: GPL 3
Build system: r
Synopsis: Dynamic Mode Decomposition Forecasting with Conformal Predictive Sampling
Description:

The DYMO package provides tools for multi-feature time-series forecasting using a Dynamic Mode Decomposition (DMD) model combined with conformal predictive sampling for uncertainty quantification.

r-disaggr 1.0.5.4
Propagated dependencies: r-rcolorbrewer@1.1-3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://inseefr.github.io/disaggR/
Licenses: Expat
Build system: r
Synopsis: Two-Steps Benchmarks for Time Series Disaggregation
Description:

The twoStepsBenchmark() and threeRuleSmooth() functions allow you to disaggregate a low-frequency time series with higher frequency time series, using the French National Accounts methodology. The aggregated sum of the resulting time series is strictly equal to the low-frequency time series within the benchmarking window. Typically, the low-frequency time series is an annual one, unknown for the last year, and the high frequency one is either quarterly or monthly. See "Methodology of quarterly national accounts", Insee Méthodes N°126, by Insee (2012, ISBN:978-2-11-068613-8, <https://www.insee.fr/en/information/2579410>).

r-dfoptim 2023.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dfoptim
Licenses: GPL 2+
Build system: r
Synopsis: Derivative-Free Optimization
Description:

Derivative-Free optimization algorithms. These algorithms do not require gradient information. More importantly, they can be used to solve non-smooth optimization problems.

r-distfreereg 1.1
Propagated dependencies: r-lme4@1.1-37 r-clue@0.3-66 r-calculus@1.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=distfreereg
Licenses: GPL 3
Build system: r
Synopsis: Distribution-Free Goodness-of-Fit Testing for Regression
Description:

This package implements the distribution-free goodness-of-fit regression test for the mean structure of parametric models introduced in Khmaladze (2021) <doi:10.1007/s10463-021-00786-3>. The test is implemented for general functions with minimal distributional assumptions as well as common models (e.g., lm, glm) with the usual assumptions.

r-dstat2x2xk 0.2.0
Propagated dependencies: r-biasedurn@2.0.12
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dstat2x2xk
Licenses: GPL 2
Build system: r
Synopsis: Demonstrated Insensitivity to Bias in 2x2xK Contingency Tables
Description:

For an observational study with binary treatment, binary outcome and K strata, implements a d-statistic that uses those strata most insensitive to unmeasured bias in treatment assignment.<doi:10.1093/biomet/asaa032> The package has one function, dstat2x2xk.

r-dynatop 0.2.4
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-rcpp@1.1.0 r-r6@2.6.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://waternumbers.github.io/dynatop/
Licenses: GPL 2
Build system: r
Synopsis: An Implementation of Dynamic TOPMODEL Hydrological Model in R
Description:

An R implementation and enhancement of the Dynamic TOPMODEL semi-distributed hydrological model originally proposed by Beven and Freer (2001) <doi:10.1002/hyp.252>. The dynatop package implements code for simulating models which can be created using the dynatopGIS package.

r-data-validator 0.2.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-shiny-semantic@0.5.1 r-rmarkdown@2.30 r-rlang@1.1.6 r-r6@2.6.1 r-purrr@1.2.0 r-knitr@1.50 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-dplyr@1.1.4 r-assertr@3.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://appsilon.github.io/data.validator/
Licenses: Expat
Build system: r
Synopsis: Automatic Data Validation and Reporting
Description:

Validate dataset by columns and rows using convenient predicates inspired by assertr package. Generate good looking HTML report or print console output to display in logs of your data processing pipeline.

r-dafs 1.0-38
Propagated dependencies: r-s20x@3.2.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dafs
Licenses: GPL 2+
Build system: r
Synopsis: Data Analysis for Forensic Scientists
Description:

Data and miscellanea to support the book "Introduction to Data analysis with R for Forensic Scientists." This book was written by James Curran and published by CRC Press in 2010 (ISBN: 978-1-4200-8826-7).

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