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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 search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-simode 1.2.2
Propagated dependencies: r-quadprog@1.5-8 r-pracma@2.4.6 r-ncvreg@3.16.0 r-glmnet@5.0 r-desolve@1.42
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=simode
Licenses: GPL 2+
Build system: r
Synopsis: Statistical Inference for Systems of Ordinary Differential Equations using Separable Integral-Matching
Description:

This package implements statistical inference for systems of ordinary differential equations, that uses the integral-matching criterion and takes advantage of the separability of parameters, in order to obtain initial parameter estimates for nonlinear least squares optimization. Dattner & Yaari (2018) <arXiv:1807.04202>. Dattner et al. (2017) <doi:10.1098/rsif.2016.0525>. Dattner & Klaassen (2015) <doi:10.1214/15-EJS1053>.

r-smartsizer 1.0.3
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=smartsizer
Licenses: GPL 3
Build system: r
Synopsis: Power Analysis for a SMART Design
Description:

This package provides a set of tools for determining the necessary sample size in order to identify the optimal dynamic treatment regime in a sequential, multiple assignment, randomized trial (SMART). Utilizes multiple comparisons with the best methodology to adjust for multiple comparisons. Designed for an arbitrary SMART design. Please see Artman (2018) <doi:10.1093/biostatistics/kxy064> for more details.

r-sbw 1.2
Propagated dependencies: r-spatstat-univar@3.2-0 r-slam@0.1-55 r-quadprog@1.5-8 r-matrix@1.7-5 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sbw
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Stable Balancing Weights for Causal Inference and Missing Data
Description:

This package implements the Stable Balancing Weights by Zubizarreta (2015) <DOI:10.1080/01621459.2015.1023805>. These are the weights of minimum variance that approximately balance the empirical distribution of the observed covariates. For an overview, see Chattopadhyay, Hase and Zubizarreta (2020) <DOI:10.1002/sim.8659>. To solve the optimization problem in sbw', the default solver is quadprog', which is readily available through CRAN. The solver osqp is also posted on CRAN. To enhance the performance of sbw', users are encouraged to install other solvers such as gurobi and Rmosek', which require special installation. For the installation of gurobi and pogs, please follow the instructions at <https://docs.gurobi.com/projects/optimizer/en/current/reference/r.html> and <http://foges.github.io/pogs/stp/r>.

r-stargazer 5.2.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stargazer
Licenses: GPL 2+
Build system: r
Synopsis: Well-Formatted Regression and Summary Statistics Tables
Description:

This package produces LaTeX code, HTML/CSS code and ASCII text for well-formatted tables that hold regression analysis results from several models side-by-side, as well as summary statistics.

r-subvis 2.0.2
Propagated dependencies: r-shiny@1.13.0 r-biostrings@2.80.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SubVis
Licenses: GPL 3
Build system: r
Synopsis: Visual Exploration of Protein Alignments Resulting from Multiple Substitution Matrices
Description:

Substitution matrices are important parameters in protein alignment algorithms. These matrices represent the likelihood that an amino acid will be substituted for another during mutation. This tool allows users to apply predefined and custom matrices and then explore the resulting alignments with interactive visualizations. SubVis requires the availability of a web browser.

r-swdft 1.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=swdft
Licenses: Expat
Build system: r
Synopsis: Sliding Window Discrete Fourier Transform (SWDFT)
Description:

This package implements the Sliding Window Discrete Fourier Transform (SWDFT). Also provides statistical methods based on the SWDFT, and graphical tools to display the outputs.

r-savvyglm 0.1.4
Propagated dependencies: r-matrix@1.7-5 r-mass@7.3-65 r-glmnet@5.0 r-glm2@1.2.1 r-expm@1.0-0 r-cvxr@1.8.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://Ziwei-ChenChen.github.io/savvyGLM/
Licenses: GPL 3+
Build system: r
Synopsis: Generalized Linear Models with Slab and Shrinkage Estimators
Description:

This package provides a flexible framework for fitting generalized linear models (GLMs) with slab and shrinkage estimators. Methods include the Stein estimator (St), Diagonal Shrinkage (DSh), Simple Slab Regression (SR), Generalized Slab Regression (GSR), Ledoit-Wolf Linear Shrinkage (LW), Quadratic-Inverse Shrinkage (QIS), and Shrinkage (Sh), all integrated into the iteratively reweighted least squares (IRLS) algorithm. This approach enhances estimation accuracy, convergence, and robustness in the presence of multicollinearity. The best-fitting model is selected based on the Akaike Information Criterion (AIC). Methods are related to methods described in Marschner (2011) <doi:10.32614/RJ-2011-012>, Asimit et al. (2025) <https://openaccess.city.ac.uk/id/eprint/35005/>, Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>, and Ledoit and Wolf (2022) <doi:10.3150/20-BEJ1315>.

r-simed 2.0.2
Propagated dependencies: r-shape@1.4.6.1 r-rstream@1.3.7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=simEd
Licenses: Expat
Build system: r
Synopsis: Simulation Education
Description:

This package contains various functions to be used for simulation education, including simple Monte Carlo simulation functions, queueing simulation functions, variate generation functions capable of producing independent streams and antithetic variates, functions for illustrating random variate generation for various discrete and continuous distributions, and functions to compute time-persistent statistics. Also contains functions for visualizing: event-driven details of a single-server queue model; a Lehmer random number generator; variate generation via acceptance-rejection; and of generating a non-homogeneous Poisson process via thinning. Also contains two queueing data sets (one fabricated, one real-world) to facilitate input modeling. More details on the use of these functions can be found in Lawson and Leemis (2015) <doi:10.1109/WSC.2017.8248124>, in Kudlay, Lawson, and Leemis (2020) <doi:10.1109/WSC48552.2020.9384010>, and in Lawson and Leemis (2021) <doi:10.1109/WSC52266.2021.9715299>.

r-sad 0.1.3
Propagated dependencies: r-emdist@0.3-3 r-dualtrees@0.1.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sad
Licenses: Expat
Build system: r
Synopsis: Verify the Scale, Anisotropy and Direction of Weather Forecasts
Description:

Implementation of the wavelet-based spatial verification method of Buschow and Friederichs "SAD: Verifying the Scale, Anisotropy and Direction of precipitation forecasts" (2020, submitted to QJRMS). Forecasts and Observations are transformed by a decimated or redundant dual-tree complex wavelet transform to analyze the spatial scale, degree of anisotropy and preferred direction in each field. These structural attributes are compared by a series of scores. An experimental algorithm for the correction of these errors is included as well.

r-skewt 1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=skewt
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: The Skewed Student-t Distribution
Description:

Density, distribution function, quantile function and random generation for the skewed t distribution of Fernandez and Steel.

r-srcr 1.1.2
Propagated dependencies: r-lifecycle@1.0.5 r-jsonlite@2.0.0 r-dplyr@1.2.1 r-dbi@1.3.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/baileych/srcr
Licenses: Artistic License 2.0
Build system: r
Synopsis: Simplify Connections to Database Sources
Description:

Connecting to databases requires boilerplate code to specify connection parameters and to set up sessions properly with the DBMS. This package provides a simple tool to fill two purposes: abstracting connection details, including secret credentials, out of your source code and managing configuration for frequently-used database connections in a persistent and flexible way, while minimizing requirements on the runtime environment.

r-simsurvey 0.1.8
Propagated dependencies: r-stars@0.7-2 r-sf@1.1-1 r-rlang@1.2.0 r-progress@1.2.3 r-plotly@4.12.0 r-matrix@1.7-5 r-lifecycle@1.0.5 r-foreach@1.5.2 r-doparallel@1.0.17 r-data-table@1.18.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://paulregular.github.io/SimSurvey/
Licenses: GPL 3
Build system: r
Synopsis: Test Surveys by Simulating Spatially-Correlated Populations
Description:

Simulate age-structured populations that vary in space and time and explore the efficacy of a range of built-in or user-defined sampling protocols to reproduce the population parameters of the known population. (See Regular et al. (2020) <doi:10.1371/journal.pone.0232822> for more details).

r-splmm 1.2.0
Propagated dependencies: r-rcpparmadillo@15.2.6-1 r-rcpp@1.1.1-1.1 r-progress@1.2.3 r-plot3d@1.4.2 r-penalized@0.9-53 r-misctools@0.6-30 r-mass@7.3-65 r-gridextra@2.3 r-ggplot2@4.0.3 r-emulator@1.2-24
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=splmm
Licenses: GPL 3
Build system: r
Synopsis: Simultaneous Penalized Linear Mixed Effects Models
Description:

This package contains functions that fit linear mixed-effects models for high-dimensional data (p>>n) with penalty for both the fixed effects and random effects for variable selection. The details of the algorithm can be found in Luoying Yang PhD thesis (Yang and Wu 2020). The algorithm implementation is based on the R package lmmlasso'. Reference: Yang L, Wu TT (2020). Model-Based Clustering of Longitudinal Data in High-Dimensionality. Unpublished thesis.

r-snsfdatasets 0.1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://enricoschumann.net/R/packages/SNSFdatasets/
Licenses: GPL 3
Build system: r
Synopsis: Download Datasets from the Swiss National Science Foundation (SNF, FNS, SNSF)
Description:

Download and read datasets from the Swiss National Science Foundation (SNF, FNS, SNSF; <https://snf.ch>). The package is lightweight and without dependencies. Downloaded data can optionally be cached, to avoid repeated downloads of the same files. There are also utilities for comparing different versions of datasets, i.e. to report added, removed and changed entries.

r-sarp-snowprofile-pyface 0.4.3
Propagated dependencies: r-sarp-snowprofile@1.4.1 r-reticulate@1.46.0 r-data-table@1.18.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://www.avalancheresearch.ca
Licenses: CC-BY-SA 4.0
Build system: r
Synopsis: 'python' Modules from Snowpack and Avalanche Research
Description:

The development of post-processing functionality for simulated snow profiles by the snow and avalanche community is often done in python'. This package aims to make some of these tools accessible to R users. Currently integrated modules contain functions to calculate dry snow layer instabilities in support of avalache hazard assessments following the publications of Richter, Schweizer, Rotach, and Van Herwijnen (2019) <doi:10.5194/tc-13-3353-2019>, and Mayer, Van Herwijnen, Techel, and Schweizer (2022) <doi:10.5194/tc-2022-34>.

r-scutr 0.2.0
Propagated dependencies: r-smotefamily@1.4.0 r-mclust@6.1.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/s-kganz/scutr
Licenses: Expat
Build system: r
Synopsis: Balancing Multiclass Datasets for Classification Tasks
Description:

Imbalanced training datasets impede many popular classifiers. To balance training data, a combination of oversampling minority classes and undersampling majority classes is useful. This package implements the SCUT (SMOTE and Cluster-based Undersampling Technique) algorithm as described in Agrawal et. al. (2015) <doi:10.5220/0005595502260234>. Their paper uses model-based clustering and synthetic oversampling to balance multiclass training datasets, although other resampling methods are provided in this package.

r-skellam 0.2.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/monty-se/skellam
Licenses: GPL 2+
Build system: r
Synopsis: Densities and Sampling for the Skellam Distribution
Description:

This package provides functions for the Skellam distribution, including: density (pmf), cdf, quantiles and regression.

r-shapena 0.0.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=shapeNA
Licenses: GPL 3
Build system: r
Synopsis: M-Estimation of Shape for Data with Missing Values
Description:

M-estimators of location and shape following the power family (Frahm, Nordhausen, Oja (2020) <doi:10.1016/j.jmva.2019.104569>) are provided in the case of complete data and also when observations have missing values together with functions aiding their visualization.

r-stratamatch 0.1.9
Propagated dependencies: r-survival@3.8-6 r-rlang@1.2.0 r-magrittr@2.0.5 r-hmisc@5.2-5 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/raikens1/stratamatch
Licenses: GPL 3
Build system: r
Synopsis: Stratification and Matching for Large Observational Data Sets
Description:

This package provides a pilot matching design to automatically stratify and match large datasets. The manual_stratify() function allows users to manually stratify a dataset based on categorical variables of interest, while the auto_stratify() function does automatically by allocating a held-aside (pilot) data set, fitting a prognostic score (see Hansen (2008) <doi:10.1093/biomet/asn004>) on the pilot set, and stratifying the data set based on prognostic score quantiles. The strata_match() function then does optimal matching of the data set in parallel within strata.

r-surfacetortoise 2.0.1
Propagated dependencies: r-terra@1.9-27 r-sf@1.1-1 r-gstat@2.1-6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://CRAN.R-project.org/package=SurfaceTortoise
Licenses: Expat
Build system: r
Synopsis: Find Optimal Sampling Locations Based on Spatial Covariate(s)
Description:

Create sampling designs using the surface reconstruction algorithm. Original method by: Olsson, D. 2002. A method to optimize soil sampling from ancillary data. Poster presenterad at: NJF seminar no. 336, Implementation of Precision Farming in Practical Agriculture, 10-12 June 2002, Skara, Sweden.

r-structssi 1.2.1
Propagated dependencies: r-reshape2@1.4.5 r-phyloseq@1.56.0 r-multtest@2.68.0 r-jsonlite@2.0.0 r-igraph@2.3.1 r-ggplot2@4.0.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=structSSI
Licenses: GPL 2
Build system: r
Synopsis: Multiple Testing for Hypotheses with Hierarchical or Group Structure
Description:

This package performs multiple testing corrections that take specific structure of hypotheses into account, as described in Sankaran & Holmes (2014) <doi:10.18637/jss.v059.i13>.

r-soas 1.4-1
Propagated dependencies: r-sfsmisc@1.1-24 r-partitions@1.10-9 r-lhs@1.3.0 r-igraph@2.3.1 r-frf2@2.3-5 r-doe-base@1.2-5 r-conf-design@2.0.0 r-combinat@0.0-8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/bertcarnell/SOAs
Licenses: GPL 2+
Build system: r
Synopsis: Creation of Stratum Orthogonal Arrays
Description:

This package creates stratum orthogonal arrays (also known as strong orthogonal arrays). These are arrays with more levels per column than the typical orthogonal array, and whose low order projections behave like orthogonal arrays, when collapsing levels to coarser strata. Details are described in Groemping (2022) "A unifying implementation of stratum (aka strong) orthogonal arrays" <http://www1.bht-berlin.de/FB_II/reports/Report-2022-002.pdf>.

r-spfa 1.0
Propagated dependencies: r-rcpparmadillo@15.2.6-1 r-rcpp@1.1.1-1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spfa
Licenses: Expat
Build system: r
Synopsis: Semi-Parametric Factor Analysis
Description:

Estimation, scoring, and plotting functions for the semi-parametric factor model proposed by Liu & Wang (2022) <doi:10.1007/s11336-021-09832-8> and Liu & Wang (2023) <arXiv:2303.10079>. Both the conditional densities of observed responses given the latent factors and the joint density of latent factors are estimated non-parametrically. Functional parameters are approximated by smoothing splines, whose coefficients are estimated by penalized maximum likelihood using an expectation-maximization (EM) algorithm. E- and M-steps can be parallelized on multi-thread computing platforms that support OpenMP'. Both continuous and unordered categorical response variables are supported.

r-survah 1.2.0
Propagated dependencies: r-survival@3.8-6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=survAH
Licenses: GPL 2
Build system: r
Synopsis: Survival Data Analysis using Average Hazard
Description:

This package performs two-sample comparisons based on average hazard with survival weight (AHSW) or general censoring-free incidence rate (CFIR) proposed by Uno and Horiguchi (2023) <doi:10.1002/sim.9651>.

Total packages: 72465