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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-spheredata 0.1.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/santosoph/spheredata
Licenses: FSDG-compatible
Build system: r
Synopsis: Students' Performance Dataset in Physics Education Research (SPHERE)
Description:

This package provides a multidimensional dataset of students performance assessment in high school physics. The SPHERE dataset was collected from 497 students in four public high schools specifically measuring their conceptual understanding, scientific ability, and attitude toward physics [see Santoso et al. (2024) <doi:10.17632/88d7m2fv7p.1>]. The data collection was conducted using some research based assessments established by the physics education research community. They include the Force Concept Inventory, the Force and Motion Conceptual Evaluation, the Rotational and Rolling Motion Conceptual Survey, the Fluid Mechanics Concept Inventory, the Mechanical Waves Conceptual Survey, the Thermal Concept Evaluation, the Survey of Thermodynamic Processes and First and Second Laws, the Scientific Abilities Assessment Rubrics, and the Colorado Learning Attitudes about Science Survey. Students attributes related to gender, age, socioeconomic status, domicile, literacy, physics identity, and test results administered using teachers developed items are also reported in this dataset.

r-surrogateseq 1.1
Propagated dependencies: r-mass@7.3-65 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SurrogateSeq
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Group Sequential Testing of a Treatment Effect Using a Surrogate Marker
Description:

This package provides functions to implement group sequential procedures that allow for early stopping to declare efficacy using a surrogate marker and the possibility of futility stopping. More details are available in: Parast, L. and Bartroff, J (2024) <doi:10.1093/biomtc/ujae108>. A tutorial for this package can be found at <https://www.laylaparast.com/surrogateseq>. A Shiny App implementing the methods can be found at <https://parastlab.shinyapps.io/SurrogateSeqApp/>.

r-sleepcycles 1.1.4
Propagated dependencies: r-viridis@0.6.5 r-stringr@1.6.0 r-reshape2@1.4.5 r-plyr@1.8.9 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SleepCycles
Licenses: GPL 3
Build system: r
Synopsis: Sleep Cycle Detection
Description:

Sleep cycles are largely detected according to the originally proposed criteria by Feinberg & Floyd (1979) <doi:10.1111/j.1469-8986.1979.tb02991.x> as described in Blume & Cajochen (2021) <doi:10.1016/j.mex.2021.101318>.

r-smicd 1.1.5
Propagated dependencies: r-weights@1.1.2 r-truncnorm@1.0-9 r-mvtnorm@1.3-3 r-lme4@1.1-37 r-laeken@0.5.3 r-ineq@0.2-13 r-hmisc@5.2-4 r-formula-tools@1.7.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=smicd
Licenses: GPL 2
Build system: r
Synopsis: Statistical Methods for Interval-Censored Data
Description:

This package provides functions that provide statistical methods for interval-censored (grouped) data. The package supports the estimation of linear and linear mixed regression models with interval-censored dependent variables. Parameter estimates are obtained by a stochastic expectation maximization algorithm. Furthermore, the package enables the direct (without covariates) estimation of statistical indicators from interval-censored data via an iterative kernel density algorithm. Survey and Organisation for Economic Co-operation and Development (OECD) weights can be included into the direct estimation (see, Walter, P. (2019) <doi:10.17169/refubium-1621>).

r-survcurve 1.0
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=survCurve
Licenses: Expat
Build system: r
Synopsis: Plots Survival Curves Element by Element
Description:

Plots survival models from the survival package. Additionally, it plots curves of multistate models from the mstate package. Typically, a plot is drawn by the sequence survplot(), confIntArea(), survCurve() and nrAtRisk(). The separation of the plot in this 4 functions allows for great flexibility to make a custom plot for publication.

r-spsurvey 5.6.0
Propagated dependencies: r-units@1.0-0 r-survey@4.4-8 r-sf@1.0-23 r-sampling@2.11 r-mass@7.3-65 r-lme4@1.1-37 r-deldir@2.0-4 r-crossdes@1.1-2 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://usepa.github.io/spsurvey/
Licenses: GPL 3+
Build system: r
Synopsis: Spatial Sampling Design and Analysis
Description:

This package provides a design-based approach to statistical inference, with a focus on spatial data. Spatially balanced samples are selected using the Generalized Random Tessellation Stratified (GRTS) algorithm. The GRTS algorithm can be applied to finite resources (point geometries) and infinite resources (linear / linestring and areal / polygon geometries) and flexibly accommodates a diverse set of sampling design features, including stratification, unequal inclusion probabilities, proportional (to size) inclusion probabilities, legacy (historical) sites, a minimum distance between sites, and two options for replacement sites (reverse hierarchical order and nearest neighbor). Data are analyzed using a wide range of analysis functions that perform categorical variable analysis, continuous variable analysis, attributable risk analysis, risk difference analysis, relative risk analysis, change analysis, and trend analysis. spsurvey can also be used to summarize objects, visualize objects, select samples that are not spatially balanced, select panel samples, measure the amount of spatial balance in a sample, adjust design weights, and more. For additional details, see Dumelle et al. (2023) <doi:10.18637/jss.v105.i03>.

r-semblance 1.1.0
Propagated dependencies: r-performanceanalytics@2.0.8 r-msos@1.2.0 r-fields@17.1 r-desctools@0.99.60
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=Semblance
Licenses: GPL 2
Build system: r
Synopsis: Data-Driven Similarity Kernel on Probability Spaces
Description:

We present a rank-based Mercer kernel to compute a pair-wise similarity metric corresponding to informative representation of data. We tailor the development of a kernel to encode our prior knowledge about the data distribution over a probability space. The philosophical concept behind our construction is that objects whose feature values fall on the extreme of that featureâ s probability mass distribution are more similar to each other, than objects whose feature values lie closer to the mean. Semblance emphasizes features whose values lie far away from the mean of their probability distribution. The kernel relies on properties empirically determined from the data and does not assume an underlying distribution. The use of feature ranks on a probability space ensures that Semblance is computational efficacious, robust to outliers, and statistically stable, thus making it widely applicable algorithm for pattern analysis. The output from the kernel is a square, symmetric matrix that gives proximity values between pairs of observations.

r-srt 1.0.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://k5cents.github.io/srt/
Licenses: GPL 3
Build system: r
Synopsis: Read Subtitle Files as Tabular Data
Description:

Read SubRip <https://sourceforge.net/projects/subrip/> subtitle files as data frames for easy text analysis or manipulation. Easily shift numeric timings and export subtitles back into valid SubRip timestamp format to sync subtitles and audio.

r-spatialepi 1.2.8
Propagated dependencies: r-spdep@1.4-1 r-sp@2.2-0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/rudeboybert/SpatialEpi
Licenses: GPL 2
Build system: r
Synopsis: Methods and Data for Spatial Epidemiology
Description:

This package provides methods and data for cluster detection and disease mapping.

r-swarmverse 0.1.1
Propagated dependencies: r-trackdf@0.3.3 r-swarm@0.6.0 r-rtsne@0.17 r-pbapply@1.7-4 r-geosphere@1.5-20
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://marinapapa.github.io/swaRmverse/
Licenses: GPL 3
Build system: r
Synopsis: Swarm Space Creation
Description:

This package provides a pipeline for the comparative analysis of collective movement data (e.g. fish schools, bird flocks, baboon troops) by processing 2-dimensional positional data (x,y,t) from GPS trackers or computer vision tracking systems, discretizing events of collective motion, calculating a set of established metrics that characterize each event, and placing the events in a multi-dimensional swarm space constructed from these metrics. The swarm space concept, the metrics and data sets included are described in: Papadopoulou Marina, Furtbauer Ines, O'Bryan Lisa R., Garnier Simon, Georgopoulou Dimitra G., Bracken Anna M., Christensen Charlotte and King Andrew J. (2023) <doi:10.1098/rstb.2022.0068>.

r-sbdecomp 1.2
Propagated dependencies: r-twang@2.6.2 r-survey@4.4-8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SBdecomp
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Estimation of the Proportion of SB Explained by Confounders
Description:

Uses parametric and nonparametric methods to quantify the proportion of the estimated selection bias (SB) explained by each observed confounder when estimating propensity score weighted treatment effects. Parast, L and Griffin, BA (2020). "Quantifying the Bias due to Observed Individual Confounders in Causal Treatment Effect Estimates". Statistics in Medicine, 39(18): 2447- 2476 <doi: 10.1002/sim.8549>.

r-smlmkalman 0.1.1
Propagated dependencies: r-truncnorm@1.0-9 r-spdep@1.4-1 r-scales@1.4.0 r-pracma@2.4.6
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=smlmkalman
Licenses: GPL 2
Build system: r
Synopsis: Generation and Tracking of Super-Resolution Filamentous Datasets
Description:

This package provides a pair of functions that allow for the generation and tracking of coordinate data clouds without a time dimension, primarily for use in super-resolution plant micro-tubule image segmentation.

r-soptdmaea 1.0.1
Propagated dependencies: r-matrix@1.7-4 r-mass@7.3-65 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=soptdmaeA
Licenses: GPL 2
Build system: r
Synopsis: Sequential Optimal Designs for Two-Colour cDNA Microarray Experiments
Description:

Computes sequential A-, MV-, D- and E-optimal or near-optimal block and row-column designs for two-colour cDNA microarray experiments using the linear fixed effects and mixed effects models where the interest is in a comparison of all possible elementary treatment contrasts. The package also provides an optional method of using the graphical user interface (GUI) R package tcltk to ensure that it is user friendly.

r-sdm 1.2-59
Propagated dependencies: r-terra@1.8-86 r-sp@2.2-0 r-raster@3.6-32
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://www.biogeoinformatics.org
Licenses: GPL 3+
Build system: r
Synopsis: Species Distribution Modelling
Description:

An extensible framework for developing species distribution models using individual and community-based approaches, generate ensembles of models, evaluate the models, and predict species potential distributions in space and time. For more information, please check the following paper: Naimi, B., Araujo, M.B. (2016) <doi:10.1111/ecog.01881>.

r-suddengains 0.7.2
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-scales@1.4.0 r-rlang@1.1.6 r-readr@2.1.6 r-psych@2.5.6 r-patchwork@1.3.2 r-naniar@1.1.0 r-magrittr@2.0.4 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-forcats@1.0.1 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://milanwiedemann.github.io/suddengains/
Licenses: Expat
Build system: r
Synopsis: Identify Sudden Gains in Longitudinal Data
Description:

Identify sudden gains based on the three criteria outlined by Tang and DeRubeis (1999) <doi:10.1037/0022-006X.67.6.894> to a selection of repeated measures. Sudden losses, defined as the opposite of sudden gains can also be identified. Two different datasets can be created, one including all sudden gains/losses and one including one selected sudden gain/loss for each case. It can extract scores around sudden gains/losses. It can plot the average change around sudden gains/losses and trajectories of individual cases.

r-stormr 0.2.1
Propagated dependencies: r-zoo@1.8-14 r-terra@1.8-86 r-stringr@1.6.0 r-sf@1.0-23 r-rworldmap@1.3-8 r-ncdf4@1.24 r-maps@3.4.3 r-leaflet@2.2.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://umr-amap.github.io/StormR/
Licenses: GPL 3+
Build system: r
Synopsis: Analyzing the Behaviour of Wind Generated by Tropical Storms and Cyclones
Description:

Set of functions to quantify and map the behaviour of winds generated by tropical storms and cyclones in space and time. It includes functions to compute and analyze fields such as the maximum sustained wind field, power dissipation index and duration of exposure to winds above a given threshold. It also includes functions to map the trajectories as well as characteristics of the storms.

r-sid 1.1
Propagated dependencies: r-rbgl@1.86.0 r-pcalg@2.7-12 r-matrix@1.7-4 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/fkgruber/SID_cran
Licenses: FSDG-compatible
Build system: r
Synopsis: Structural Intervention Distance
Description:

The code computes the structural intervention distance (SID) between a true directed acyclic graph (DAG) and an estimated DAG. Definition and details about the implementation can be found in J. Peters and P. Bühlmann: "Structural intervention distance (SID) for evaluating causal graphs", Neural Computation 27, pages 771-799, 2015 <doi:10.1162/NECO_a_00708>.

r-sbgcop 1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://pdhoff.github.io/
Licenses: GPL 2+
Build system: r
Synopsis: Semiparametric Bayesian Gaussian Copula Estimation and Imputation
Description:

Estimation and inference for parameters in a Gaussian copula model, treating the univariate marginal distributions as nuisance parameters as described in Hoff (2007) <doi:10.1214/07-AOAS107>. This package also provides a semiparametric imputation procedure for missing multivariate data.

r-stratbr 1.2
Propagated dependencies: r-stratification@2.2-7 r-snowfall@1.84-6.3 r-rglpk@0.6-5.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stratbr
Licenses: GPL 2
Build system: r
Synopsis: Optimal Stratification in Stratified Sampling
Description:

An Optimization Algorithm Applied to Stratification Problem.This function aims at constructing optimal strata with an optimization algorithm based on a global optimisation technique called Biased Random Key Genetic Algorithms.

r-surrogatebma 1.0
Propagated dependencies: r-rsurrogate@3.2 r-rcppnumerical@0.6-0 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-mcmcpack@1.7-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SurrogateBMA
Licenses: GPL 2+
Build system: r
Synopsis: Flexible Evaluation of Surrogate Markers with Bayesian Model Averaging
Description:

This package provides functions to estimate the proportion of treatment effect explained by the surrogate marker using a Bayesian Model Averaging approach. Duan and Parast (2023) <doi:10.1002/sim.9986>.

r-skewsamp 1.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=skewsamp
Licenses: Expat
Build system: r
Synopsis: Estimate Sample Sizes for Group Comparisons with Skewed Distributions
Description:

Estimate necessary sample sizes for comparing the location of data from two groups or categories when the distribution of the data is skewed. The package offers a non-parametric method for a Wilcoxon Mann-Whitney test of location shift as well as methods for several generalized linear models, for instance, Gamma regression.

r-stroupglmm 0.3.0
Propagated dependencies: r-survey@4.4-8 r-scatterplot3d@0.3-44 r-phia@0.3-2 r-parameters@0.28.3 r-nlme@3.1-168 r-mutoss@0.1-13 r-mass@7.3-65 r-magrittr@2.0.4 r-lmertest@3.1-3 r-lattice@0.22-7 r-ggplot2@4.0.1 r-emmeans@2.0.0 r-dplyr@1.1.4 r-car@3.1-3 r-broom-mixed@0.2.9.7 r-aod@1.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=StroupGLMM
Licenses: GPL 3
Build system: r
Synopsis: R Codes and Datasets for Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup
Description:

R Codes and Datasets for Stroup, W. W. (2012). Generalized Linear Mixed Models Modern Concepts, Methods and Applications, CRC Press.

r-sgsr 1.5.0
Propagated dependencies: r-tidyr@1.3.1 r-terra@1.8-86 r-spatstat-geom@3.6-1 r-sf@1.0-23 r-samplingbigdata@1.0.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-clhs@0.9.2 r-balancedsampling@2.1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/tgoodbody/sgsR
Licenses: GPL 3+
Build system: r
Synopsis: Structurally Guided Sampling
Description:

Structurally guided sampling (SGS) approaches for airborne laser scanning (ALS; LIDAR). Primary functions provide means to generate data-driven stratifications & methods for allocating samples. Intermediate functions for calculating and extracting important information about input covariates and samples are also included. Processing outcomes are intended to help forest and environmental management practitioners better optimize field sample placement as well as assess and augment existing sample networks in the context of data distributions and conditions. ALS data is the primary intended use case, however any rasterized remote sensing data can be used, enabling data-driven stratifications and sampling approaches.

r-spscomps 0.3.4.0
Propagated dependencies: r-stringr@1.6.0 r-shinytoastr@2.2.0 r-shinyace@0.4.4 r-shiny@1.11.1 r-r6@2.6.1 r-magrittr@2.0.4 r-htmltools@0.5.8.1 r-glue@1.8.0 r-crayon@1.5.3 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/lz100/spsComps
Licenses: GPL 3+
Build system: r
Synopsis: 'systemPipeShiny' UI and Server Components
Description:

The systemPipeShiny (SPS) framework comes with many UI and server components. However, installing the whole framework is heavy and takes some time. If you would like to use UI and server components from SPS in your own Shiny apps, do not hesitate to try this package.

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