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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-difboost 0.4
Propagated dependencies: r-stabs@0.6-4 r-penalized@0.9-53 r-mboost@2.9-11
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DIFboost
Licenses: GPL 2
Build system: r
Synopsis: Detection of Differential Item Functioning (DIF) in Rasch Models by Boosting Techniques
Description:

This package performs detection of Differential Item Functioning using the method DIFboost as proposed by Schauberger and Tutz (2016) <doi:10.1111/bmsp.12060>.

r-diagl1 1.0.1
Propagated dependencies: r-quantreg@6.1 r-matrixmodels@0.5-4 r-matrix@1.7-4 r-mass@7.3-65 r-lawstat@3.6 r-greekletters@1.0.4 r-foreach@1.5.2 r-doparallel@1.0.17 r-cubature@2.1.4-1 r-conquer@1.3.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=diagL1
Licenses: GPL 2+
Build system: r
Synopsis: Routines for Fit, Inference and Diagnostics in Linear L1 and LAD Models
Description:

Diagnostics for linear L1 regression (also known as LAD - Least Absolute Deviations), including: estimation, confidence intervals, tests of hypotheses, measures of leverage, methods of diagnostics for L1 regression, special diagnostics graphs and measures of leverage. The algorithms are based in Dielman (2005) <doi:10.1080/0094965042000223680>, Elian et al. (2000) <doi:10.1080/03610920008832518> and Dodge (1997) <doi:10.1006/jmva.1997.1666>. This package builds on the quantreg package, which is a well-established package for tuning quantile regression models. There are also tests to verify if the errors have a Laplace distribution based on the work of Puig and Stephens (2000) <doi:10.2307/1270952>.

r-dggridr 3.1.1
Propagated dependencies: r-sf@1.0-23 r-s2@1.1.9 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://github.com/r-barnes/dggridR/
Licenses: AGPL 3+
Build system: r
Synopsis: Discrete Global Grids
Description:

Spatial analyses involving binning require that every bin have the same area, but this is impossible using a rectangular grid laid over the Earth or over any projection of the Earth. Discrete global grids use hexagons, triangles, and diamonds to overcome this issue, overlaying the Earth with equally-sized bins. This package provides utilities for working with discrete global grids, along with utilities to aid in plotting such data.

r-debar 0.1.1
Propagated dependencies: r-seqinr@4.2-36 r-aphid@1.3.6 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=debar
Licenses: GPL 3
Build system: r
Synopsis: Post-Clustering Denoiser for COI-5P Barcode Data
Description:

The debar sequence processing pipeline is designed for denoising high throughput sequencing data for the animal DNA barcode marker cytochrome c oxidase I (COI). The package is designed to detect and correct insertion and deletion errors within sequencer outputs. This is accomplished through comparison of input sequences against a profile hidden Markov model (PHMM) using the Viterbi algorithm (for algorithm details see Durbin et al. 1998, ISBN: 9780521629713). Inserted base pairs are removed and deleted base pairs are accounted for through the introduction of a placeholder character. Since the PHMM is a probabilistic representation of the COI barcode, corrections are not always perfect. For this reason debar censors base pairs adjacent to reported indel sites, turning them into placeholder characters (default is 7 base pairs in either direction, this feature can be disabled). Testing has shown that this censorship results in the correct sequence length being restored, and erroneous base pairs being masked the vast majority of the time (>95%).

r-dswe 1.8.4
Propagated dependencies: r-xgboost@1.7.11.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mixtools@2.0.0.1 r-matrixstats@1.5.0 r-kernsmooth@2.23-26 r-gss@2.2-10 r-fnn@1.1.4.1 r-e1071@1.7-16 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/TAMU-AML/DSWE-Package
Licenses: Expat
Build system: r
Synopsis: Data Science for Wind Energy
Description:

Data science methods used in wind energy applications. Current functionalities include creating a multi-dimensional power curve model, performing power curve function comparison, covariate matching, and energy decomposition. Relevant works for the developed functions are: funGP() - Prakash et al. (2022) <doi:10.1080/00401706.2021.1905073>, AMK() - Lee et al. (2015) <doi:10.1080/01621459.2014.977385>, tempGP() - Prakash et al. (2022) <doi:10.1080/00401706.2022.2069158>, ComparePCurve() - Ding et al. (2021) <doi:10.1016/j.renene.2021.02.136>, deltaEnergy() - Latiffianti et al. (2022) <doi:10.1002/we.2722>, syncSize() - Latiffianti et al. (2022) <doi:10.1002/we.2722>, imptPower() - Latiffianti et al. (2022) <doi:10.1002/we.2722>, All other functions - Ding (2019, ISBN:9780429956508).

r-dissever 0.2-3
Propagated dependencies: r-viridis@0.6.5 r-sp@2.2-0 r-raster@3.6-32 r-plyr@1.8.9 r-magrittr@2.0.4 r-foreach@1.5.2 r-dplyr@1.1.4 r-caret@7.0-1 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/pierreroudier/dissever
Licenses: GPL 2
Build system: r
Synopsis: Spatial Downscaling using the Dissever Algorithm
Description:

Spatial downscaling of coarse grid mapping to fine grid mapping using predictive covariates and a model fitted using the caret package. The original dissever algorithm was published by Malone et al. (2012) <doi:10.1016/j.cageo.2011.08.021>, and extended by Roudier et al. (2017) <doi:10.1016/j.compag.2017.08.021>.

r-delayedeffect-design 1.1.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DelayedEffect.Design
Licenses: GPL 2
Build system: r
Synopsis: Sample Size and Power Calculations using the APPLE, SEPPLE, APPLE+ and SEPPLE+ Methods
Description:

This package provides sample size and power calculations when the treatment time-lag effect is present and the lag duration is either homogeneous across the individual subject, or varies heterogeneously from individual to individual within a certain domain and following a specific pattern. The methods used are described in Xu, Z., Zhen, B., Park, Y., & Zhu, B. (2017) <doi:10.1002/sim.7157>.

r-dotprofile 0.0.1
Propagated dependencies: r-r6@2.6.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/jeanmathieupotvin/dotprofile
Licenses: Expat
Build system: r
Synopsis: Create and Manage Configuration Profiles
Description:

This package provides a toolbox to create and manage metadata files and configuration profiles: files used to configure the parameters and initial settings for some computer programs.

r-dynatree 1.2-17
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://bobby.gramacy.com/r_packages/dynaTree/
Licenses: LGPL 2.0+
Build system: r
Synopsis: Dynamic Trees for Learning and Design
Description:

Inference by sequential Monte Carlo for dynamic tree regression and classification models with hooks provided for sequential design and optimization, fully online learning with drift, variable selection, and sensitivity analysis of inputs. Illustrative examples from the original dynamic trees paper (Gramacy, Taddy & Polson (2011); <doi:10.1198/jasa.2011.ap09769>) are facilitated by demos in the package; see demo(package="dynaTree").

r-dlmwwbe 0.1.0
Propagated dependencies: r-dlm@1.1-6.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dlmwwbe
Licenses: GPL 3+
Build system: r
Synopsis: Dynamic Linear Model for Wastewater-Based Epidemiology
Description:

Implement dynamic linear models outlined in Shumway and Stoffer (2025) <doi:10.1007/978-3-031-70584-7>. Two model structures for data smoothing and forecasting are considered. The specific models proposed will be added once the manuscript is published.

r-desir 1.2.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/stanlazic/desiR
Licenses: GPL 3
Build system: r
Synopsis: Desirability Functions for Ranking, Selecting, and Integrating Data
Description:

This package provides functions for (1) ranking, selecting, and prioritising genes, proteins, and metabolites from high dimensional biology experiments, (2) multivariate hit calling in high content screens, and (3) combining data from diverse sources.

r-drdrtest 0.1
Propagated dependencies: r-superlearner@2.0-29 r-kernsmooth@2.23-26
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DRDRtest
Licenses: GPL 3+
Build system: r
Synopsis: Nonparametric Doubly Robust Test for Continuous Treatment Effect
Description:

Implement the statistical test proposed in Weng et al. (2021) to test whether the average treatment effect curve is constant and whether a discrete covariate is a significant effect modifier.

r-dfexpand 0.0.2
Propagated dependencies: r-stringr@1.6.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/jlpainter/dfexpand
Licenses: GPL 3+
Build system: r
Synopsis: Automatically Expand Delimited Column Values into Multiple Binary Columns with 'dfexpand'
Description:

This package implements an algorithm to effortlessly split a column in an R data frame filled with multiple values separated by delimiters. This automates the process of creating separate columns for each unique value, transforming them into binary outcomes.

r-debest 0.1.0
Propagated dependencies: r-survival@3.8-3 r-flexsurv@2.3.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=debest
Licenses: GPL 2
Build system: r
Synopsis: Duration Estimation for Biomarker Enrichment Studies and Trials
Description:

This package provides a general framework using mixture Weibull distributions to accurately predict biomarker-guided trial duration accounting for heterogeneous population. Extensive simulations are performed to evaluate the impact of heterogeneous population and the dynamics of biomarker characteristics and disease on the study duration. Several influential parameters including median survival time, enrollment rate, biomarker prevalence and effect size are identified. Efficiency gains of biomarker-guided trials can be quantitatively compared to the traditional all-comers design. For reference, see Zhang et al. (2024) <arXiv:2401.00540>.

r-dfa-cancor 0.3.9
Propagated dependencies: r-mvoutlier@2.1.4 r-mvn@6.3 r-mass@7.3-65 r-bayesfactor@0.9.12-4.7
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DFA.CANCOR
Licenses: GPL 2+
Build system: r
Synopsis: Linear Discriminant Function and Canonical Correlation Analysis
Description:

This package produces SPSS- and SAS-like output for linear discriminant function analysis and canonical correlation analysis. The methods are described in Manly & Alberto (2017, ISBN:9781498728966), Rencher (2002, ISBN:0-471-41889-7), and Tabachnik & Fidell (2019, ISBN:9780134790541).

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@4.12.0 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-daisie 4.6.0
Propagated dependencies: r-testit@0.13 r-tensor@1.5.1 r-subplex@1.9 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-pracma@2.4.6 r-matrix@1.7-4 r-magrittr@2.0.4 r-foreach@1.5.2 r-doparallel@1.0.17 r-desolve@1.40 r-ddd@5.2.4 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/rsetienne/DAISIE
Licenses: GPL 3+ FSDG-compatible
Build system: r
Synopsis: Dynamical Assembly of Islands by Speciation, Immigration and Extinction
Description:

Simulates and computes the (maximum) likelihood of a dynamical model of island biota assembly through speciation, immigration and extinction. See Valente et al. (2015) <doi:10.1111/ele.12461>.

r-datrprofile 0.1.0
Propagated dependencies: r-rsqlite@2.4.4 r-odbc@1.6.4.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/avitaliano/datrProfile
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Column Profile for Tables and Datasets
Description:

Profiles datasets (collecting statistics and informative summaries about that data) on data frames and ODBC tables: maximum, minimum, mean, standard deviation, nulls, distinct values, data patterns, data/format frequencies.

r-dnmf 1.4.2
Propagated dependencies: r-matrix@1.7-4 r-gplots@3.2.0 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/zhilongjia/DNMF
Licenses: GPL 2+
Build system: r
Synopsis: Discriminant Non-Negative Matrix Factorization
Description:

Discriminant Non-Negative Matrix Factorization aims to extend the Non-negative Matrix Factorization algorithm in order to extract features that enforce not only the spatial locality, but also the separability between classes in a discriminant manner. It refers to three article, Zafeiriou, Stefanos, et al. "Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification." Neural Networks, IEEE Transactions on 17.3 (2006): 683-695. Kim, Bo-Kyeong, and Soo-Young Lee. "Spectral Feature Extraction Using dNMF for Emotion Recognition in Vowel Sounds." Neural Information Processing. Springer Berlin Heidelberg, 2013. and Lee, Soo-Young, Hyun-Ah Song, and Shun-ichi Amari. "A new discriminant NMF algorithm and its application to the extraction of subtle emotional differences in speech." Cognitive neurodynamics 6.6 (2012): 525-535.

r-dendrometer 1.1.1
Propagated dependencies: r-zoo@1.8-14 r-pspline@1.0-21 r-forecast@8.24.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/smiljanicm/dendrometeR
Licenses: GPL 2+
Build system: r
Synopsis: Analyzing Dendrometer Data
Description:

Various functions to import, verify, process and plot high-resolution dendrometer data using daily and stem-cycle approaches as described in Deslauriers et al, 2007 <doi:10.1016/j.dendro.2007.05.003>. For more details about the package please see: Van der Maaten et al. 2016 <doi:10.1016/j.dendro.2016.06.001>.

r-dmbc 1.0.3
Propagated dependencies: r-robustx@1.2-8 r-robustbase@0.99-6 r-rcppprogress@0.4.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-modeltools@0.2-24 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-coda@0.19-4.1 r-bayesplot@1.14.0 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dmbc
Licenses: GPL 2+
Build system: r
Synopsis: Model Based Clustering of Binary Dissimilarity Measurements
Description:

This package provides functions for fitting a Bayesian model for grouping binary dissimilarity matrices in homogeneous clusters. Currently, it includes methods only for binary data (<doi:10.18637/jss.v100.i16>).

r-deconvolver 1.2-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://bnaras.github.io/deconvolveR/
Licenses: GPL 2+
Build system: r
Synopsis: Empirical Bayes Estimation Strategies
Description:

Empirical Bayes methods for learning prior distributions from data. An unknown prior distribution (g) has yielded (unobservable) parameters, each of which produces a data point from a parametric exponential family (f). The goal is to estimate the unknown prior ("g-modeling") by deconvolution and Empirical Bayes methods. Details and examples are in the paper by Narasimhan and Efron (2020, <doi:10.18637/jss.v094.i11>).

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-dtda-ni 1.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/sidoruvigo/DTDA.ni
Licenses: GPL 2
Build system: r
Synopsis: Doubly Truncated Data Analysis, Non Iterative
Description:

Non-iterative estimator for the cumulative distribution of a doubly truncated variable. de Uña-à lvarez J. (2018) <doi:10.1007/978-3-319-73848-2_37>.

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