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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-informativecensoring 0.3.6
Propagated dependencies: r-survival@3.8-3 r-dplyr@1.1.4 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/jwb133/InformativeCensoring
Licenses: GPL 2+ FSDG-compatible
Build system: r
Synopsis: Multiple Imputation for Informative Censoring
Description:

Multiple Imputation for Informative Censoring. This package implements two methods. Gamma Imputation described in <DOI:10.1002/sim.6274> and Risk Score Imputation described in <DOI:10.1002/sim.3480>.

r-iprism 0.1.1
Propagated dependencies: r-tidyr@1.3.1 r-pbapply@1.7-4 r-matrix@1.7-4 r-igraph@2.2.1 r-hmisc@5.2-4 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=iPRISM
Licenses: GPL 2+
Build system: r
Synopsis: Intelligent Predicting Response to Cancer Immunotherapy Through Systematic Modeling
Description:

Immunotherapy has revolutionized cancer treatment, but predicting patient response remains challenging. Here, we presented Intelligent Predicting Response to cancer Immunotherapy through Systematic Modeling (iPRISM), a novel network-based model that integrates multiple data types to predict immunotherapy outcomes. It incorporates gene expression, biological functional network, tumor microenvironment characteristics, immune-related pathways, and clinical data to provide a comprehensive view of factors influencing immunotherapy efficacy. By identifying key genetic and immunological factors, it provides an insight for more personalized treatment strategies and combination therapies to overcome resistance mechanisms.

r-icv 1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ICV
Licenses: GPL 2
Build system: r
Synopsis: Indirect Cross-Validation (ICV) for Kernel Density Estimation
Description:

This package provides functions for computing the global and local Gaussian density estimates based on the ICV bandwidth. See the article of Savchuk, O.Y., Hart, J.D., Sheather, S.J. (2010). Indirect cross-validation for density estimation. Journal of the American Statistical Association, 105(489), 415-423 <doi:10.1198/jasa.2010.tm08532>.

r-icarus 0.3.3
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=icarus
Licenses: GPL 3
Build system: r
Synopsis: Calibrates and Reweights Units in Samples
Description:

This package provides user-friendly tools for calibration in survey sampling. The package is production-oriented, and its interface is inspired by the famous popular macro Calmar for SAS, so that Calmar users can quickly get used to icarus'. In addition to calibration (with linear, raking and logit methods), icarus features functions for calibration on tight bounds and penalized calibration.

r-igcop 1.0.2
Propagated dependencies: r-vctrs@0.6.5 r-rlang@1.1.6 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=igcop
Licenses: Expat
Build system: r
Synopsis: Computational Tools for the IG and IGL Copula Families
Description:

Compute distributional quantities for an Integrated Gamma (IG) or Integrated Gamma Limit (IGL) copula, such as a cdf and density. Compute corresponding conditional quantities such as the cdf and quantiles. Generate data from an IG or IGL copula. See the vignette for formulas, or for a derivation, see Coia, V (2017) "Forecasting of Nonlinear Extreme Quantiles Using Copula Models." PhD Dissertation, The University of British Columbia.

r-icr 0.6.6
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/staudtlex/icr
Licenses: GPL 2+
Build system: r
Synopsis: Compute Krippendorff's Alpha
Description:

This package provides functions to compute and plot Krippendorff's inter-coder reliability coefficient alpha and bootstrapped uncertainty estimates (Krippendorff 2004, ISBN:0761915443). The bootstrap routines are set up to make use of parallel threads where supported.

r-io 0.3.2
Propagated dependencies: r-stringr@1.6.0 r-filenamer@0.3
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://bitbucket.org/djhshih/io
Licenses: GPL 3+
Build system: r
Synopsis: Unified Framework for Input-Output Operations in R
Description:

One function to read files. One function to write files. One function to direct plots to screen or file. Automatic file format inference and directory structure creation.

r-image-libfacedetection 0.1.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/bnosac/image
Licenses: Modified BSD
Build system: r
Synopsis: Convolutional Neural Network for Face Detection
Description:

An open source library for face detection in images. Provides a pretrained convolutional neural network based on <https://github.com/ShiqiYu/libfacedetection> which can be used to detect faces which have size greater than 10x10 pixels.

r-istats 1.7
Propagated dependencies: r-shinywidgets@0.9.0 r-shinybs@0.61.1 r-shiny@1.11.1 r-rstudioapi@0.17.1 r-readr@2.1.6 r-plotly@4.11.0 r-gtools@3.9.5 r-ggplot2@4.0.1 r-data-table@1.17.8 r-cairo@1.7-0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=iSTATS
Licenses: GPL 3+
Build system: r
Synopsis: Graphical Interface to Perform STOCSY Analyses on NMR Data
Description:

Launches a shiny based application for Nuclear Magnetic Resonance (NMR)data importation and Statistical TOtal Correlation SpectroscopY (STOCSY) analyses in a full interactive approach. The theoretical background and applications of STOCSY method could be found at Cloarec, O., Dumas, M. E., Craig, A., Barton, R. H., Trygg, J., Hudson, J., Blancher, C., Gauguier, D., Lindon, J. C., Holmes, E. & Nicholson, J. (2005) <doi:10.1021/ac048630x>.

r-ic-infer 1.1-7
Propagated dependencies: r-quadprog@1.5-8 r-mvtnorm@1.3-3 r-kappalab@0.4-12 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://prof.bht-berlin.de/groemping/
Licenses: GPL 2+
Build system: r
Synopsis: Inequality Constrained Inference in Linear Normal Situations
Description:

This package implements inequality constrained inference. This includes parameter estimation in normal (linear) models under linear equality and inequality constraints, as well as normal likelihood ratio tests involving inequality-constrained hypotheses. For inequality-constrained linear models, averaging over R-squared for different orderings of regressors is also included.

r-innsight 0.3.2
Propagated dependencies: r-torch@0.16.3 r-r6@2.6.1 r-ggplot2@4.0.1 r-cli@3.6.5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://bips-hb.github.io/innsight/
Licenses: Expat
Build system: r
Synopsis: Get the Insights of Your Neural Network
Description:

Interpretation methods for analyzing the behavior and individual predictions of modern neural networks in a three-step procedure: Converting the model, running the interpretation method, and visualizing the results. Implemented methods are, e.g., Connection Weights described by Olden et al. (2004) <doi:10.1016/j.ecolmodel.2004.03.013>, layer-wise relevance propagation ('LRP') described by Bach et al. (2015) <doi:10.1371/journal.pone.0130140>, deep learning important features ('DeepLIFT') described by Shrikumar et al. (2017) <doi:10.48550/arXiv.1704.02685> and gradient-based methods like SmoothGrad described by Smilkov et al. (2017) <doi:10.48550/arXiv.1706.03825>, Gradient x Input or Vanilla Gradient'. Details can be found in the accompanying scientific paper: Koenen & Wright (2024, Journal of Statistical Software, <doi:10.18637/jss.v111.i08>).

r-invasioncorrection 0.1
Propagated dependencies: r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=InvasionCorrection
Licenses: GPL 3
Build system: r
Synopsis: Invasion Correction
Description:

The correction is achieved under the assumption that non-migrating cells of the essay approximately form a quadratic flow profile due to frictional effects, compare law of Hagen-Poiseuille for flow in a tube. The script fits a conical plane to give xyz-coordinates of the cells. It outputs the number of migrated cells and the new corrected coordinates.

r-inlavaan 0.2.3
Propagated dependencies: r-ucminf@1.2.2 r-tidyr@1.3.1 r-statmod@1.5.1 r-scales@1.4.0 r-qrng@0.0-11 r-numderiv@2016.8-1.1 r-mvtnorm@1.3-3 r-modeest@2.4.0 r-lavaan@0.6-20 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cowplot@1.2.0 r-cli@3.6.5 r-blavaan@0.5-9
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://inlavaan.haziqj.ml/
Licenses: GPL 3+
Build system: r
Synopsis: Approximate Bayesian Latent Variable Analysis
Description:

This package implements approximate Bayesian inference for Structural Equation Models (SEM) using a custom adaptation of the Integrated Nested Laplace Approximation as described in Rue et al. (2009) <doi:10.1111/j.1467-9868.2008.00700.x>. Provides a computationally efficient alternative to Markov Chain Monte Carlo (MCMC) for Bayesian estimation, allowing users to fit latent variable models using the lavaan syntax.

r-idingo 1.0.4
Propagated dependencies: r-visnetwork@2.1.4 r-scales@1.4.0 r-mvtnorm@1.3-3 r-igraph@2.2.1 r-glasso@1.11 r-ggmridge@1.5
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=iDINGO
Licenses: GPL 2
Build system: r
Synopsis: Integrative Differential Network Analysis in Genomics
Description:

Fits covariate dependent partial correlation matrices for integrative models to identify differential networks between two groups. The methods are described in Class et. al., (2018) <doi:10.1093/bioinformatics/btx750> and Ha et. al., (2015) <doi:10.1093/bioinformatics/btv406>.

r-ipmrf 1.3
Propagated dependencies: r-randomforest@4.7-1.2 r-party@1.3-18 r-gbm@2.2.2
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IPMRF
Licenses: GPL 3
Build system: r
Synopsis: Intervention in Prediction Measure for Random Forests
Description:

Computes intervention in prediction measure for assessing variable importance for random forests. See details at I. Epifanio (2017) <DOI:10.1186/s12859-017-1650-8>.

r-iterator 0.1.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/stevecondylios/iteratoR
Licenses: Expat
Build system: r
Synopsis: Print Loop Iterations at Exponentially Disparate Intervals
Description:

Know which loop iteration the code execution is up to by including a single, convenient function call inside the loop.

r-imagine 2.1.3
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/LuisLauM/imagine
Licenses: GPL 2+
Build system: r
Synopsis: IMAGing engINEs, Tools for Application of Image Filters to Data Matrices
Description:

This package provides fast application of image filters to data matrices, using R and C++ algorithms.

r-imf-data 0.1.7
Propagated dependencies: r-jsonlite@2.0.0 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://pedrobtz.github.io/imf.data/
Licenses: Expat
Build system: r
Synopsis: An Interface to IMF (International Monetary Fund) Data JSON API
Description:

This package provides a straightforward interface for accessing the IMF (International Monetary Fund) data JSON API, available at <https://data.imf.org/>. This package offers direct access to the primary API endpoints: Dataflow, DataStructure, and CompactData. And, it provides an intuitive interface for exploring available dimensions and attributes, as well as querying individual time-series datasets. Additionally, the package implements a rate limit on API calls to reduce the chances of exceeding service limits (limited to 10 calls every 5 seconds) and encountering response errors.

r-iss 1.0.0
Propagated dependencies: r-rdpack@2.6.4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ISS
Licenses: GPL 3+
Build system: r
Synopsis: Isotonic Subgroup Selection
Description:

Methodology for subgroup selection in the context of isotonic regression including methods for sub-Gaussian errors, classification, homoscedastic Gaussian errors and quantile regression. See the documentation of ISS(). Details can be found in the paper by Müller, Reeve, Cannings and Samworth (2023) <arXiv:2305.04852v2>.

r-iprsue 1.0.0
Propagated dependencies: r-logistf@1.26.1 r-data-table@1.17.8 r-bigstatsr@1.6.2
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/DoviniJ/iPRSue
Licenses: GPL 3
Build system: r
Synopsis: Individual Polygenic Risk Score Uncertainty Estimation
Description:

This package provides tools for estimating uncertainty in individual polygenic risk scores (PRSs) using both sampling-based and analytical methods, as well as the Best Linear Unbiased Estimator (BLUE). These methods quantify variability in PRS estimates for both binary and quantitative traits. See Henderson (1975) <doi:10.2307/2529430> for more details.

r-irishdirectorates 1.5
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IrishDirectorates
Licenses: GPL 3
Build system: r
Synopsis: Dynamic Bipartite Latent Space Model to Analyse Irish Companies' Boards from 2003 to 2013
Description:

This package provides the dataset and an implementation of the method illustrated in Friel, N., Rastelli, R., Wyse, J. and Raftery, A.E. (2016) <DOI:10.1073/pnas.1606295113>.

r-idpsurvival 1.2.2
Propagated dependencies: r-survival@3.8-3 r-rsolnp@2.0.1 r-gtools@3.9.5
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://ipg.idsia.ch/software.html
Licenses: GPL 3+ FSDG-compatible
Build system: r
Synopsis: Imprecise Dirichlet Process for Survival Analysis
Description:

This package provides functions to perform robust nonparametric survival analysis with right censored data using a prior near-ignorant Dirichlet Process. Mangili, F., Benavoli, A., de Campos, C.P., Zaffalon, M. (2015) <doi:10.1002/bimj.201500062>.

r-idefix 1.1.0
Propagated dependencies: r-tmvtnorm@1.7 r-tablehtml@2.1.3 r-shinyjs@2.1.0 r-shiny@1.11.1 r-scales@1.4.0 r-rdpack@2.6.4 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mass@7.3-65 r-dplyr@1.1.4 r-dfidx@0.2-0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/traets/idefix
Licenses: GPL 3
Build system: r
Synopsis: Efficient Designs for Discrete Choice Experiments
Description:

Generates efficient designs for discrete choice experiments based on the multinomial logit model, and individually adapted designs for the mixed multinomial logit model. The generated designs can be presented on screen and choice data can be gathered using a shiny application. Traets F, Sanchez G, and Vandebroek M (2020) <doi:10.18637/jss.v096.i03>.

r-ipcwk 1.0
Propagated dependencies: r-survival@3.8-3 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IPCWK
Licenses: GPL 2+
Build system: r
Synopsis: Kendall's Tau Partial Corr. for Survival Trait and Biomarkers
Description:

We propose the inverse probability-of-censoring weighted (IPCW) Kendall's tau to measure the association of the survival trait with biomarkers and Kendall's partial correlation to reflect the relationship of the survival trait with interaction variable conditional on main effects, as described in Wang and Chen (2020) <doi:10.1093/bioinformatics/btaa017>.

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