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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-dynpanel 0.1.0
Propagated dependencies: r-gtools@3.9.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dynpanel
Licenses: GPL 3
Build system: r
Synopsis: Dynamic Panel Data Models
Description:

Computes the first stage GMM estimate of a dynamic linear model with p lags of the dependent variables.

r-drcte 1.0.65
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-survival@3.8-3 r-sandwich@3.1-1 r-plyr@1.8.9 r-nor1mix@1.3-3 r-multcomp@1.4-29 r-mclust@6.1.2 r-mass@7.3-65 r-lmtest@0.9-40 r-drc@3.0-1 r-dplyr@1.1.4 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://www.statforbiology.com
Licenses: GPL 2+
Build system: r
Synopsis: Statistical Approaches for Time-to-Event Data in Agriculture
Description:

This package provides a specific and comprehensive framework for the analyses of time-to-event data in agriculture. Fit non-parametric and parametric time-to-event models. Compare time-to-event curves for different experimental groups. Plots and other displays. It is particularly tailored to the analyses of data from germination and emergence assays. The methods are described in Onofri et al. (2022) "A unified framework for the analysis of germination, emergence, and other time-to-event data in weed science", Weed Science, 70, 259-271 <doi:10.1017/wsc.2022.8>.

r-dhsr 0.1.0
Propagated dependencies: r-viridis@0.6.5 r-tidyr@1.3.1 r-spdep@1.4-1 r-sf@1.0-23 r-rlang@1.1.6 r-nlme@3.1-168 r-mumin@1.48.11 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://cran.r-project.org/package=DHSr
Licenses: GPL 3
Build system: r
Synopsis: Create Large Scale Repeated Regression Summary Statistics Dataset and Visualization Seamlessly
Description:

Mapping, spatial analysis, and statistical modeling of microdata from sources such as the Demographic and Health Surveys <https://www.dhsprogram.com/> and Integrated Public Use Microdata Series <https://www.ipums.org/>. It can also be extended to other datasets. The package supports spatial correlation index construction and visualization, along with empirical Bayes approximation of regression coefficients in a multistage setup. The main functionality is repeated regression รข for example, if we have to run regression for n groups, the group ID should be vertically composed into the variable for the parameter `location_var`. It can perform various kinds of regression, such as Generalized Regression Models, logit, probit, and more. Additionally, it can incorporate interaction effects. The key benefit of the package is its ability to store the regression results performed repeatedly on a dataset by the group ID, along with respective p-values and map those estimates.

r-dslite 1.4.1
Propagated dependencies: r-rly@1.7.8 r-r6@2.6.1 r-dsi@1.8.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/datashield/DSLite/
Licenses: LGPL 2.1+
Build system: r
Synopsis: 'DataSHIELD' Implementation on Local Datasets
Description:

DataSHIELD is an infrastructure and series of R packages that enables the remote and non-disclosive analysis of sensitive research data. This DataSHIELD Interface implementation is for analyzing datasets living in the current R session. The purpose of this is primarily for lightweight DataSHIELD analysis package development.

r-deep 0.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=deep
Licenses: GPL 3
Build system: r
Synopsis: Neural Networks Framework
Description:

Explore neural networks in a layer oriented way, the framework is intended to give the user total control of the internals of a net without much effort. Use classes like PerceptronLayer to create a layer of Percetron neurons, and specify how many you want. The package does all the tricky stuff internally leaving you focused in what you want. I wrote this package during a neural networks course to help me with the problem set.

r-dark 0.9.9
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/emkayoh/Dark
Licenses: GPL 3
Build system: r
Synopsis: The Analysis of Dark Adaptation Data
Description:

The recovery of visual sensitivity in a dark environment is known as dark adaptation. In a clinical or research setting the recovery is typically measured after a dazzling flash of light and can be described by the Mahroo, Lamb and Pugh (MLP) model of dark adaptation. The functions in this package take dark adaptation data and use nonlinear regression to find the parameters of the model that best describe the data. They do this by firstly, generating rapid initial objective estimates of data adaptation parameters, then a multi-start algorithm is used to reduce the possibility of a local minimum. There is also a bootstrap method to calculate parameter confidence intervals. The functions rely upon a dark list or object. This object is created as the first step in the workflow and parts of the object are updated as it is processed.

r-disclap 1.5.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=disclap
Licenses: GPL 2
Build system: r
Synopsis: Discrete Laplace Exponential Family
Description:

The discrete Laplace exponential family for use in fitting generalized linear models.

r-dasst 0.3.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=Dasst
Licenses: GPL 2+
Build system: r
Synopsis: Tools for Reading, Processing and Writing 'DSSAT' Files
Description:

This package provides methods for reading, displaying, processing and writing files originally arranged for the DSSAT-CSM fixed width format. The DSSAT-CSM cropping system model is described at J.W. Jones, G. Hoogenboomb, C.H. Porter, K.J. Boote, W.D. Batchelor, L.A. Hunt, P.W. Wilkens, U. Singh, A.J. Gijsman, J.T. Ritchie (2003) <doi:10.1016/S1161-0301(02)00107-7>.

r-domino 0.3.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: http://www.dominodatalab.com
Licenses: Expat
Build system: r
Synopsis: R Console Bindings for the 'Domino Command-Line Client'
Description:

This package provides a wrapper on top of the Domino Command-Line Client'. It lets you run Domino commands (e.g., "run", "upload", "download") directly from your R environment. Under the hood, it uses R's system function to run the Domino executable, which must be installed as a prerequisite. Domino is a service that makes it easy to run your code on scalable hardware, with integrated version control and collaboration features designed for analytical workflows (see <http://www.dominodatalab.com> for more information).

r-drcarlate 1.2.0
Propagated dependencies: r-stringr@1.6.0 r-splus2r@1.3-5 r-purrr@1.2.0 r-pracma@2.4.6 r-mass@7.3-65 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=drcarlate
Licenses: Expat
Build system: r
Synopsis: Improving Estimation Efficiency in CAR with Imperfect Compliance
Description:

We provide a list of functions for replicating the results of the Monte Carlo simulations and empirical application of Jiang et al. (2022). In particular, we provide corresponding functions for generating the three types of random data described in this paper, as well as all the estimation strategies. Detailed information about the data generation process and estimation strategy can be found in Jiang et al. (2022) <doi:10.48550/arXiv.2201.13004>.

r-dandefa 1.6.1
Propagated dependencies: r-polycor@0.8-1 r-gplots@3.2.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DandEFA
Licenses: GPL 2
Build system: r
Synopsis: Dandelion Plot for R-Mode Exploratory Factor Analysis
Description:

This package contains the function used to create the Dandelion Plot. Dandelion Plot is a visualization method for R-mode Exploratory Factor Analysis.

r-dataspice 1.1.1
Propagated dependencies: r-whisker@0.4.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-shiny@1.11.1 r-rhandsontable@0.3.8 r-readr@2.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-ggplot2@4.0.1 r-fs@1.6.6 r-eml@2.0.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/ropensci/dataspice
Licenses: Expat
Build system: r
Synopsis: Create Lightweight Schema.org Descriptions of Data
Description:

The goal of dataspice is to make it easier for researchers to create basic, lightweight, and concise metadata files for their datasets. These basic files can then be used to make useful information available during analysis, create a helpful dataset "README" webpage, and produce more complex metadata formats to aid dataset discovery. Metadata fields are based on the Schema.org and Ecological Metadata Language standards.

r-downsize 0.2.3
Propagated dependencies: r-r-utils@2.13.0 r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/wlandau/downsize
Licenses: GPL 3+
Build system: r
Synopsis: Tool to Downsize Large Analysis Projects for Testing
Description:

Toggles the test and production versions of a large data analysis project.

r-dbhc 0.0.3
Propagated dependencies: r-traminer@2.2-13 r-seqhmm@2.1.0 r-reshape2@1.4.5 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/gabybudel/DBHC
Licenses: GPL 3+
Build system: r
Synopsis: Sequence Clustering with Discrete-Output HMMs
Description:

This package provides an implementation of a mixture of hidden Markov models (HMMs) for discrete sequence data in the Discrete Bayesian HMM Clustering (DBHC) algorithm. The DBHC algorithm is an HMM Clustering algorithm that finds a mixture of discrete-output HMMs while using heuristics based on Bayesian Information Criterion (BIC) to search for the optimal number of HMM states and the optimal number of clusters.

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-decido 0.4.0
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://hypertidy.github.io/decido/
Licenses: Expat
Build system: r
Synopsis: Bindings for 'Mapbox' Ear Cutting Triangulation Library
Description:

This package provides constrained triangulation of polygons. Ear cutting (or ear clipping) applies constrained triangulation by successively cutting triangles from a polygon defined by path/s. Holes are supported by introducing a bridge segment between polygon paths. This package wraps the header-only library earcut.hpp <https://github.com/mapbox/earcut.hpp> which includes a reference to the method used by Held, M. (2001) <doi:10.1007/s00453-001-0028-4>.

r-dforest 0.4.2
Propagated dependencies: r-rpart@4.1.24 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=Dforest
Licenses: GPL 2
Build system: r
Synopsis: Decision Forest
Description:

This package provides R-implementation of Decision forest algorithm, which combines the predictions of multiple independent decision tree models for a consensus decision. In particular, Decision Forest is a novel pattern-recognition method which can be used to analyze: (1) DNA microarray data; (2) Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (SELDI-TOF-MS) data; and (3) Structure-Activity Relation (SAR) data. In this package, three fundamental functions are provided, as (1)DF_train, (2)DF_pred, and (3)DF_CV. run Dforest() to see more instructions. Weida Tong (2003) <doi:10.1021/ci020058s>.

r-drdid 1.2.3
Propagated dependencies: r-trust@0.1-8 r-rcpp@1.1.0 r-fastglm@0.0.3 r-bmisc@1.4.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://psantanna.com/DRDID/
Licenses: GPL 3
Build system: r
Synopsis: Doubly Robust Difference-in-Differences Estimators
Description:

This package implements the locally efficient doubly robust difference-in-differences (DiD) estimators for the average treatment effect proposed by Sant'Anna and Zhao (2020) <doi:10.1016/j.jeconom.2020.06.003>. The estimator combines inverse probability weighting and outcome regression estimators (also implemented in the package) to form estimators with more attractive statistical properties. Two different estimation methods can be used to estimate the nuisance functions.

r-dataonderivatives 0.4.0
Propagated dependencies: r-vetr@0.2.20 r-tibble@3.3.0 r-readr@2.1.6 r-httr2@1.2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/imanuelcostigan/dataonderivatives
Licenses: GPL 2
Build system: r
Synopsis: Easily Source Publicly Available Data on Derivatives
Description:

Post Global Financial Crisis derivatives reforms have lifted the veil off over-the-counter (OTC) derivative markets. Swap Execution Facilities (SEFs) and Swap Data Repositories (SDRs) now publish data on swaps that are traded on or reported to those facilities (respectively). This package provides you the ability to get this data from supported sources.

r-ddpcr 1.16.0
Propagated dependencies: r-tibble@3.3.0 r-shinyjs@2.1.0 r-shinydisconnect@0.1.1 r-shiny@1.11.1 r-rlang@1.1.6 r-readr@2.1.6 r-plyr@1.8.9 r-mixtools@2.0.0.1 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dt@0.34.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/daattali/ddpcr
Licenses: Expat
Build system: r
Synopsis: Analysis and Visualization of Droplet Digital PCR in R and on the Web
Description:

An interface to explore, analyze, and visualize droplet digital PCR (ddPCR) data in R. This is the first non-proprietary software for analyzing two-channel ddPCR data. An interactive tool was also created and is available online to facilitate this analysis for anyone who is not comfortable with using R.

r-dfms 1.0.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-collapse@2.1.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://docs.ropensci.org/dfms/
Licenses: GPL 3
Build system: r
Synopsis: Dynamic Factor Models
Description:

Efficient estimation of Dynamic Factor Models using the Expectation Maximization (EM) algorithm or Two-Step (2S) estimation, supporting datasets with missing data and mixed-frequency nowcasting applications. Factors follow a stationary VAR process of order p. Estimation options include: running the Kalman Filter and Smoother once with PCA initial values (2S) as in Doz, Giannone and Reichlin (2011) <doi:10.1016/j.jeconom.2011.02.012>; iterated Kalman Filtering and Smoothing until EM convergence as in Doz, Giannone and Reichlin (2012) <doi:10.1162/REST_a_00225>; or the adapted EM algorithm of Banbura and Modugno (2014) <doi:10.1002/jae.2306>, allowing arbitrary missing-data patterns and monthly-quarterly mixed-frequency datasets. The implementation uses the Armadillo C++ library and the collapse package for fast estimation. A comprehensive set of methods supports interpretation and visualization, forecasting, and decomposition of the news content of macroeconomic data releases following Banbura and Modugno (2014). Information criteria to choose the number of factors are also provided, following Bai and Ng (2002) <doi:10.1111/1468-0262.00273>.

r-didmultiplegt 2.1.0
Propagated dependencies: r-stringr@1.6.0 r-sampling@2.11 r-rlang@1.1.6 r-plotrix@3.8-13 r-fixest@0.13.2 r-dplyr@1.1.4 r-didmultiplegtdyn@2.3.2 r-didhad@2.0.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/Credible-Answers/did_multiplegt
Licenses: Expat
Build system: r
Synopsis: Estimators DID with Multiple Groups and Periods
Description:

Estimators of Difference-in-Differences based on de Chaisemartin and D'Haultfoeuille.

r-dove 1.11
Propagated dependencies: r-survival@3.8-3 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DOVE
Licenses: GPL 2
Build system: r
Synopsis: Durability of Vaccine Efficacy
Description:

This package implements maximum likelihood methods for evaluating the durability of vaccine efficacy in a randomized, placebo-controlled clinical trial with staggered enrollment of participants and potential crossover of placebo recipients before the end of the trial. Lin, D. Y., Zeng, D., and Gilbert, P. B. (2021) <doi:10.1093/cid/ciab226> and Lin, D. Y., Gu, Y., Zeng, D., Janes, H. E., and Gilbert, P. B. (2021) <doi:10.1093/cid/ciab630>.

r-drape 0.0.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=drape
Licenses: Expat
Build system: r
Synopsis: Doubly Robust Average Partial Effects
Description:

Doubly robust average partial effect estimation. This implementation contains methods for adding additional smoothness to plug-in regression procedures and for estimating score functions using smoothing splines. Details of the method can be found in Harvey Klyne and Rajen D. Shah (2023) <doi:10.48550/arXiv.2308.09207>.

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