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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-spbsampling 1.3.5
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=Spbsampling
Licenses: GPL 3
Build system: r
Synopsis: Spatially Balanced Sampling
Description:

Selection of spatially balanced samples. In particular, the implemented sampling designs allow to select probability samples well spread over the population of interest, in any dimension and using any distance function (e.g. Euclidean distance, Manhattan distance). For more details, Pantalone F, Benedetti R, and Piersimoni F (2022) <doi:10.18637/jss.v103.c02>, Benedetti R and Piersimoni F (2017) <doi:10.1002/bimj.201600194>, and Benedetti R and Piersimoni F (2017) <arXiv:1710.09116>. The implementation has been done in C++ through the use of Rcpp and RcppArmadillo'.

r-samplingr 1.0.1
Propagated dependencies: r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=samplingR
Licenses: GPL 2
Build system: r
Synopsis: Sampling and Estimation Methods
Description:

This package provides functions to take samples of data, sample size estimation and getting useful estimators such as total, mean, proportion about its population using simple random, stratified, systematic and cluster sampling.

r-selcorr 1.0
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=selcorr
Licenses: GPL 3
Build system: r
Synopsis: Post-Selection Inference for Generalized Linear Models
Description:

Calculates (unconditional) post-selection confidence intervals and p-values for the coefficients of (generalized) linear models.

r-snplist 0.18.3
Propagated dependencies: r-rsqlite@2.4.4 r-rcpp@1.1.0 r-r-utils@2.13.0 r-dbi@1.2.3 r-biomart@2.66.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=snplist
Licenses: GPL 3
Build system: r
Synopsis: Tools to Create Gene Sets
Description:

This package provides a set of functions to create SQL tables of gene and SNP information and compose them into a SNP Set, for example to export to a PLINK set.

r-sarp-snowprofile 1.4.1
Propagated dependencies: r-xml2@1.5.0 r-data-table@1.17.8
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: Snow Profile Analysis for Snowpack and Avalanche Research
Description:

Analysis and plotting tools for snow profile data produced from manual snowpack observations and physical snowpack models. The functions in this package support snowpack and avalanche research by reading various formats of data (including CAAML, SMET, generic csv, and outputs from the snow cover model SNOWPACK), manipulate the data, and produce graphics such as stratigraphy and time series profiles. Package developed by the Simon Fraser University Avalanche Research Program <http://www.avalancheresearch.ca>. Graphics apply visualization concepts from Horton, Nowak, and Haegeli (2020, <doi:10.5194/nhess-20-1557-2020>).

r-scientotext 0.1
Propagated dependencies: r-tm@0.7-16 r-stringr@1.6.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=scientoText
Licenses: GPL 3
Build system: r
Synopsis: Text & Scientometric Analytics
Description:

It involves bibliometric indicators calculation from bibliometric data.It also deals pattern analysis using the text part of bibliometric data.The bibliometric data are obtained from mainly Web of Science and Scopus.

r-stevemisc 1.9.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rmarkdown@2.30 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-lme4@1.1-37 r-labelled@2.16.0 r-httr@1.4.7 r-ggplot2@4.0.1 r-forcats@1.0.1 r-dplyr@1.1.4 r-arm@1.14-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stevemisc
Licenses: GPL 2+
Build system: r
Synopsis: Steve's Miscellaneous Functions
Description:

These are miscellaneous functions that I find useful for my research and teaching. The contents include themes for plots, functions for simulating quantities of interest from regression models, functions for simulating various forms of fake data for instructional/research purposes, and many more. All told, the functions provided here are broadly useful for data organization, data presentation, data recoding, and data simulation.

r-somenv 1.1.2
Propagated dependencies: r-shinycustomloader@0.9.0 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-rlist@0.4.6.2 r-plyr@1.8.9 r-openair@2.19.0 r-kohonen@3.0.12 r-dplyr@1.1.4 r-colourpicker@1.3.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/SomEnv/somenv
Licenses: GPL 3
Build system: r
Synopsis: SOM Algorithm for the Analysis of Multivariate Environmental Data
Description:

Analysis of multivariate environmental high frequency data by Self-Organizing Map and k-means clustering algorithms. By means of the graphical user interface it provides a comfortable way to elaborate by self-organizing map algorithm rather big datasets (txt files up to 100 MB ) obtained by environmental high-frequency monitoring by sensors/instruments. The functions present in the package are based on kohonen and openair packages implemented by functions embedding Vesanto et al. (2001) <http://www.cis.hut.fi/projects/somtoolbox/package/papers/techrep.pdf> heuristic rules for map initialization parameters, k-means clustering algorithm and map features visualization. Cluster profiles visualization as well as graphs dedicated to the visualization of time-dependent variables Licen et al. (2020) <doi:10.4209/aaqr.2019.08.0414> are provided.

r-slpreselection 1.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Amalan-ConStat/SLPresElection
Licenses: Expat
Build system: r
Synopsis: Presidential Election Data of "Sri Lanka" from 1982 to 2015
Description:

Presidential Election data of "Sri Lanka"" is stored in Pdf files, through Pdf scraping they are converted into data-frames and stored in this R package.

r-shinylogs 0.2.1
Propagated dependencies: r-shiny@1.11.1 r-nanotime@0.3.12 r-jsonlite@2.0.0 r-htmltools@0.5.8.1 r-digest@0.6.39 r-data-table@1.17.8 r-bit64@4.6.0-1 r-anytime@0.3.12
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/dreamRs/shinylogs
Licenses: GPL 3
Build system: r
Synopsis: Record Everything that Happens in a 'Shiny' Application
Description:

Track and record the use of applications and the user's interactions with Shiny inputs. Allows to trace the inputs with which the user interacts, the outputs generated, as well as the errors displayed in the interface.

r-stgam 1.2.0
Propagated dependencies: r-stringr@1.6.0 r-purrr@1.2.0 r-mgcv@1.9-4 r-magrittr@2.0.4 r-glue@1.8.0 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/lexcomber/stgam
Licenses: Expat
Build system: r
Synopsis: Spatially and Temporally Varying Coefficient Models Using Generalized Additive Models
Description:

This package provides a framework for undertaking space and time varying coefficient models (varying parameter models) using a Generalized Additive Model (GAM) with smooths approach. The framework suggests the need to investigate for the presence and nature of any space-time dependencies in the data. It proposes a workflow that creates and refines an initial space-time GAM and includes tools to create and evaluate multiple model forms. The workflow sequence is to: i) Prepare the data by lengthening it to have a single location and time variables for each observation. ii) Create all possible space and/or time models in which each predictor is specified in different ways in smooths. iii) Evaluate each model via their AIC value and pick the best one. iv) Create the final model. v) Calculate the varying coefficient estimates to quantify how the relationships between the target and predictor variables vary over space, time or space-time. vi) Create maps, time series plots etc. The number of knots used in each smooth can be specified directly or iteratively increased. This is illustrated with a climate point dataset of the dry rain forest in South America. This builds on work in Comber et al (2024) <doi:10.1080/13658816.2023.2270285> and Comber et al (2004) <doi:10.3390/ijgi13120459>.

r-simmsm 1.1.42
Propagated dependencies: r-survival@3.8-3 r-mvna@2.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=simMSM
Licenses: GPL 2+
Build system: r
Synopsis: Simulation of Event Histories for Multi-State Models
Description:

Simulation of event histories with possibly non-linear baseline hazard rate functions, non-linear (time-varying) covariate effect functions, and dependencies on the past of the history. Random generation of event histories is performed using inversion sampling on the cumulative all-cause hazard rate functions.

r-seqmagick 0.1.8
Propagated dependencies: r-yulab-utils@0.2.1 r-magrittr@2.0.4 r-biostrings@2.78.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/YuLab-SMU/seqmagick
Licenses: Artistic License 2.0
Build system: r
Synopsis: Sequence Manipulation Utilities
Description:

This package provides tools for reading and writing biological sequences in multiple formats, including FASTA', PHYLIP', CLUSTAL', STOCKHOLM', MEGA and GenBank'. Supports interleaved and sequential layouts where applicable, converts between formats, and manipulates sequence sets (e.g., filtering by patterns and computing consensus sequences from alignments). Also includes functions to download nucleotide records from NCBI by accession.

r-ssnbler 1.1.1
Propagated dependencies: r-withr@3.0.2 r-ssn2@0.4.0 r-sf@1.0-23 r-rsqlite@2.4.4 r-pdist@1.2.1 r-igraph@2.2.1 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/pet221/SSNbler
Licenses: GPL 3+
Build system: r
Synopsis: Assemble 'SSN' Objects
Description:

Import, create and assemble data needed to fit spatial-statistical stream-network models using the SSN2 package for R'. Streams, observations, and prediction locations are represented as simple features and specific tools provided to define topological relationships between features; calculate the hydrologic distances (with flow-direction preserved) and the spatial additive function used to weight converging stream segments; and export the topological, spatial, and attribute information to an `SSN` (spatial stream network) object, which can be efficiently stored, accessed and analysed in R'. A detailed description of methods used to calculate and format the spatial data can be found in Peterson, E.E. and Ver Hoef, J.M., (2014) <doi:10.18637/jss.v056.i02>.

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-scroshi 1.0.0.0
Propagated dependencies: r-uwot@0.2.4 r-summarizedexperiment@1.40.0 r-singlecellexperiment@1.32.0 r-s4vectors@0.48.0 r-limma@3.66.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=scROSHI
Licenses: Expat
Build system: r
Synopsis: Robust Supervised Hierarchical Identification of Single Cells
Description:

Identifying cell types based on expression profiles is a pillar of single cell analysis. scROSHI identifies cell types based on expression profiles of single cell analysis by utilizing previously obtained cell type specific gene sets. It takes into account the hierarchical nature of cell type relationship and does not require training or annotated data. A detailed description of the method can be found at: Prummer, Bertolini, Bosshard, Barkmann, Yates, Boeva, The Tumor Profiler Consortium, Stekhoven, and Singer (2022) <doi:10.1101/2022.04.05.487176>.

r-sumsome 1.1.0
Propagated dependencies: r-rnifti@1.8.0 r-rcpp@1.1.0 r-pari@1.1.3 r-aribrain@0.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/annavesely/sumSome
Licenses: GPL 2+
Build system: r
Synopsis: Permutation True Discovery Guarantee by Sum-Based Tests
Description:

It allows to quickly perform permutation-based closed testing by sum-based global tests, and construct lower confidence bounds for the TDP, simultaneously over all subsets of hypotheses. As a main feature, it produces simultaneous lower confidence bounds for the proportion of active voxels in different clusters for fMRI cluster analysis. Details may be found in Vesely, Finos, and Goeman (2020) <arXiv:2102.11759>.

r-solvesaphe 2.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://CRAN.R-project.org/package=SolveSAPHE
Licenses: GPL 2+
Build system: r
Synopsis: Solver Suite for Alkalinity-PH Equations
Description:

Universal and robust algorithm for solving the total alkalinity-pH equation presented in G. Munhoven (2013) <doi:10.5194/gmd-6-1367-2013> and G. Munhoven (2021) <doi:10.5194/gmd-2020-447>. The total alkalinity-pH equation relates total alkalinity and pH for a given set of acid-base concentrations in a given water sample, among which carbonic acid. This package is particularly useful in marine chemistry involving dissolved inorganic carbon. Original package in Fortran can be found at <doi:10.5281/zenodo.4328965>.

r-sketching 0.1.2
Propagated dependencies: r-rcpp@1.1.0 r-phangorn@2.12.1 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/sokbae/sketching/
Licenses: GPL 3
Build system: r
Synopsis: Sketching of Data via Random Subspace Embeddings
Description:

Construct sketches of data via random subspace embeddings. For more details, see the following papers. Lee, S. and Ng, S. (2022). "Least Squares Estimation Using Sketched Data with Heteroskedastic Errors," Proceedings of the 39th International Conference on Machine Learning (ICML22), 162:12498-12520. Lee, S. and Ng, S. (2020). "An Econometric Perspective on Algorithmic Subsampling," Annual Review of Economics, 12(1): 45â 80.

r-scholar 0.2.6
Propagated dependencies: r-xml2@1.5.0 r-tidygraph@1.3.1 r-stringr@1.6.0 r-rvest@1.0.5 r-rlang@1.1.6 r-r-cache@0.17.0 r-httr@1.4.7 r-ggraph@2.2.2 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/YuLab-SMU/scholar
Licenses: Expat
Build system: r
Synopsis: Analyse Citation Data from Google Scholar
Description:

This package provides functions to extract citation data from Google Scholar. Convenience functions are also provided for comparing multiple scholars and predicting future h-index values.

r-smatr 3.4-8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://web.maths.unsw.edu.au/~dwarton
Licenses: GPL 2
Build system: r
Synopsis: (Standardised) Major Axis Estimation and Testing Routines
Description:

This package provides methods for fitting bivariate lines in allometry using the major axis (MA) or standardised major axis (SMA), and for making inferences about such lines. The available methods of inference include confidence intervals and one-sample tests for slope and elevation, testing for a common slope or elevation amongst several allometric lines, constructing a confidence interval for a common slope or elevation, and testing for no shift along a common axis, amongst several samples. See Warton et al. 2012 <doi:10.1111/j.2041-210X.2011.00153.x> for methods description.

r-semnar 0.8.2
Propagated dependencies: r-urlshortener@2.0.0 r-parsedate@1.3.2 r-lubridate@1.9.4 r-leaflet@2.2.3 r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=semnar
Licenses: GPL 3
Build system: r
Synopsis: Constructing and Interacting with Databases of Presentations
Description:

This package provides methods for constructing and maintaining a database of presentations in R. The presentations are either ones that the user gives or gave or presentations at a particular event or event series. The package also provides a plot method for the interactive mapping of the presentations using leaflet by grouping them according to country, city, year and other presentation attributes. The markers on the map come with popups providing presentation details (title, institution, event, links to materials and events, and so on).

r-samplingbigdata 1.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jlisic/SamplingBigData
Licenses: GPL 2+
Build system: r
Synopsis: Sampling Methods for Big Data
Description:

Select sampling methods for probability samples using large data sets. This includes spatially balanced sampling in multi-dimensional spaces with any prescribed inclusion probabilities. All implementations are written in C with efficient data structures such as k-d trees that easily scale to several million rows on a modern desktop computer.

r-seofm 0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SEofM
Licenses: GPL 3
Build system: r
Synopsis: Standard Error of Measurement
Description:

To calculate the standard error of measurement (SEM) to assess the observer variability (inter- and intra-observer variation). The methods used in this package are referenced from Zoran B. PopoviÄ (2017) <doi:10.21037/cdt.2017.03.12>.

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Total results: 69112