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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-notionr 0.0.9
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringi@1.8.7 r-httr2@1.2.1 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: <https://www.enelmargen.org/notionR/>
Licenses: Expat
Build system: r
Synopsis: R Wrapper for 'Notion' API
Description:

This package provides functions to query databases and notes in Notion', using the official REST API. To learn more about the functionality of the Notion API, see <https://developers.notion.com/>.

r-novelqualcodes 0.13.5
Propagated dependencies: r-readxl@1.4.5 r-naturalsort@0.1.3 r-ggplot2@4.0.1 r-ggpattern@1.2.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/DesiQuintans/novelqualcodes
Licenses: Expat
Build system: r
Synopsis: Visualise the Path to a Stopping Point in Qualitative Interviews Based on Novel Codes
Description:

In semi-structured interviews that use the framework method, it is not always clear how refinements to interview questions affect the decision of when to stop interviews. The trend of novel and duplicate interview codes (novel codes are information that other interviewees have not previously mentioned) provides insight into the richness of qualitative information. This package provides tools to visualise when refinements occur and how that affects the trends of novel and duplicate codes. These visualisations, when used progressively as new interviews are finished, can help the researcher to decide on a stopping point for their interviews. For context, see Wong et al., (2023) <doi:10.1177/16094069231220773>.

r-netseg 1.0-3
Propagated dependencies: r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://mbojan.github.io/netseg/
Licenses: GPL 2
Build system: r
Synopsis: Measures of Network Segregation and Homophily
Description:

Segregation is a network-level property such that edges between predefined groups of vertices are relatively less likely. Network homophily is a individual-level tendency to form relations with people who are similar on some attribute (e.g. gender, music taste, social status, etc.). In general homophily leads to segregation, but segregation might arise without homophily. This package implements descriptive indices measuring homophily/segregation. It is a computational companion to Bojanowski & Corten (2014) <doi:10.1016/j.socnet.2014.04.001>.

r-nepic 1.0.1
Propagated dependencies: r-paireddata@1.1.1 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NEpiC
Licenses: GPL 2
Build system: r
Synopsis: Network Assisted Algorithm for Epigenetic Studies Using Mean and Variance Combined Signals
Description:

Package for a Network assisted algorithm for Epigenetic studies using mean and variance Combined signals: NEpiC. NEpiC combines both signals in mean and variance differences in methylation level between case and control groups searching for differentially methylated sub-networks (modules) using the protein-protein interaction network.

r-nnfor 0.9.9
Propagated dependencies: r-uroot@2.1-3 r-tsutils@0.9.4 r-plotrix@3.8-13 r-neuralnet@1.44.2 r-mass@7.3-65 r-glmnet@4.1-10 r-generics@0.1.4 r-forecast@8.24.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://kourentzes.com/forecasting/2019/01/16/tutorial-for-the-nnfor-r-package/
Licenses: GPL 3
Build system: r
Synopsis: Time Series Forecasting with Neural Networks
Description:

Automatic time series modelling with neural networks. Allows fully automatic, semi-manual or fully manual specification of networks. For details of the specification methodology see: (i) Crone and Kourentzes (2010) <doi:10.1016/j.neucom.2010.01.017>; and (ii) Kourentzes et al. (2014) <doi:10.1016/j.eswa.2013.12.011>.

r-necountries 0.1-1
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-stringi@1.8.7 r-sf@1.0-23 r-rlang@1.1.6 r-rdpack@2.6.4 r-magrittr@2.0.4 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-classint@0.4-11
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://www.R-project.org
Licenses: GPL 2+
Build system: r
Synopsis: Countries of the World
Description:

Based on Natural Earth <https://www.naturalearthdata.com/>, a subset of countries can easily be selected with their administrative boundaries, joined with an external data frame and plotted as a thematic map.

r-nitrogenuptake2016 0.2.3
Propagated dependencies: r-zoo@1.8-14 r-mass@7.3-65 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/troyhill/NitrogenUptake2016
Licenses: GPL 3
Build system: r
Synopsis: Data and Source Code From: Nitrogen Uptake and Allocation Estimates for Spartina Alterniflora and Distichlis Spicata
Description:

This package contains data, code, and figures from Hill et al. 2018a (Journal of Experimental Marine Biology and Ecology; <DOI: 10.1016/j.jembe.2018.07.006>) and Hill et al. 2018b (Data In Brief <DOI: 10.1016/j.dib.2018.09.133>). Datasets document plant allometry, stem heights, nutrient and stable isotope content, and sediment denitrification enzyme assays. The data and analysis offer an examination of nitrogen uptake and allocation in two salt marsh plant species.

r-nlpclient 1.0
Propagated dependencies: r-xml2@1.5.0 r-nlp@0.3-2 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NLPclient
Licenses: GPL 2
Build system: r
Synopsis: Stanford 'CoreNLP' Annotation Client
Description:

Stanford CoreNLP annotation client. Stanford CoreNLP <https://stanfordnlp.github.io/CoreNLP/index.html> integrates all NLP tools from the Stanford Natural Language Processing Group, including a part-of-speech (POS) tagger, a named entity recognizer (NER), a parser, and a coreference resolution system, and provides model files for the analysis of English. More information can be found in the README.

r-npregderiv 1.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=npregderiv
Licenses: GPL 2+
Build system: r
Synopsis: Nonparametric Estimation of the Derivatives of a Regression Function
Description:

Estimating the first and second derivatives of a regression function by the method of Wang and Lin (2015) <http://www.jmlr.org/papers/v16/wang15b.html>.

r-nlsmsn 0.0-6
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nlsmsn
Licenses: GPL 3+
Build system: r
Synopsis: Fitting Nonlinear Models with Scale Mixture of Skew-Normal Distributions
Description:

Fit univariate non-linear scale mixture of skew-normal(NL-SMSN) regression, details in Garay, Lachos and Abanto-Valle (2011) <doi:10.1016/j.jkss.2010.08.003> and Lachos, Bandyopadhyay and Garay (2011) <doi:10.1016/j.spl.2011.03.019>.

r-nestr 0.1.2
Propagated dependencies: r-vctrs@0.6.5 r-tidyselect@1.2.1 r-rlang@1.1.6 r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nestr
Licenses: Expat
Build system: r
Synopsis: Build Nesting or Hierarchical Structures
Description:

Facilitates building a nesting or hierarchical structure as a list or data frame by using a human friendly syntax.

r-nlreg 1.2-4
Propagated dependencies: r-survival@3.8-3 r-statmod@1.5.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://www.r-project.org
Licenses: GPL 2+ FSDG-compatible
Build system: r
Synopsis: Higher Order Inference for Nonlinear Heteroscedastic Models
Description:

This package implements likelihood inference based on higher order approximations for nonlinear models with possibly non constant variance.

r-nrejections 1.2.0
Propagated dependencies: r-stepwisetest@1.0 r-mvtnorm@1.3-3 r-matrixcalc@1.0-6 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NRejections
Licenses: GPL 2
Build system: r
Synopsis: Metrics for Multiple Testing with Correlated Outcomes
Description:

This package implements methods in Mathur and VanderWeele (in preparation) to characterize global evidence strength across W correlated ordinary least squares (OLS) hypothesis tests. Specifically, uses resampling to estimate a null interval for the total number of rejections in, for example, 95% of samples generated with no associations (the global null), the excess hits (the difference between the observed number of rejections and the upper limit of the null interval), and a test of the global null based on the number of rejections.

r-nmar 0.1.2
Propagated dependencies: r-nleqslv@3.3.5 r-generics@0.1.4 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/ncn-foreigners/NMAR
Licenses: Expat
Build system: r
Synopsis: Estimation under not Missing at Random Nonresponse
Description:

This package provides methods to estimate finite-population parameters under nonresponse that is not missing at random (NMAR, nonignorable). Incorporates auxiliary information and user-specified response models, and supports independent samples and complex survey designs via objects from the survey package. Provides diagnostics and optional variance estimates. For methodological background see Qin, Leung and Shao (2002) <doi:10.1198/016214502753479338> and Riddles, Kim and Im (2016) <doi:10.1093/jssam/smv047>.

r-nlms 1.1
Propagated dependencies: r-nlme@3.1-168
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nlMS
Licenses: GPL 3
Build system: r
Synopsis: Non-Linear Model Selection
Description:

Package to select best model among several linear and nonlinear models. The main function uses the gnls() function from the nlme package to fit the data to nine regression models, named: "linear", "quadratic", "cubic", "logistic", "exponential", "power", "monod", "haldane", "logit".

r-nonnormvtdist 1.1.0
Propagated dependencies: r-cubature@2.1.4-1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NonNorMvtDist
Licenses: GPL 3+
Build system: r
Synopsis: Multivariate Lomax (Pareto Type II) and Its Related Distributions
Description:

This package implements calculation of probability density function, cumulative distribution function, equicoordinate quantile function and survival function, and random numbers generation for the following multivariate distributions: Lomax (Pareto Type II), generalized Lomax, Mardiaâ s Pareto of Type I, Logistic, Burr, Cook-Johnsonâ s uniform, F and Inverted Beta. See Tapan Nayak (1987) <doi:10.2307/3214068>.

r-npcd 1.0-11
Propagated dependencies: r-r-methodss3@1.8.2 r-bb@2019.10-1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NPCD
Licenses: LGPL 2.1+
Build system: r
Synopsis: Nonparametric Methods for Cognitive Diagnosis
Description:

An array of nonparametric and parametric estimation methods for cognitive diagnostic models, including nonparametric classification of examinee attribute profiles, joint maximum likelihood estimation (JMLE) of examinee attribute profiles and item parameters, and nonparametric refinement of the Q-matrix, as well as conditional maximum likelihood estimation (CMLE) of examinee attribute profiles given item parameters and CMLE of item parameters given examinee attribute profiles. Currently the nonparametric methods in the package support both conjunctive and disjunctive models, and the parametric methods in the package support the DINA model, the DINO model, the NIDA model, the G-NIDA model, and the R-RUM model.

r-numspellr 0.1.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=numspellR
Licenses: Expat
Build system: r
Synopsis: Detection of Numeric Persistence and Rigidity Patterns
Description:

This package provides tools for detecting numeric persistence ("spells") and rigidity patterns in time-ordered numeric data. The package identifies periods of stability, computes spell-based rigidity metrics, and provides plain-language interpretations suitable for policy and applied analysis.

r-niarules 0.3.1
Propagated dependencies: r-rlang@1.1.6 r-rgl@1.3.31 r-rcpp@1.1.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/firefly-cpp/niarules
Licenses: Expat
Build system: r
Synopsis: Numerical Association Rule Mining using Population-Based Nature-Inspired Algorithms
Description:

Framework is devoted to mining numerical association rules through the utilization of nature-inspired algorithms for optimization. Drawing inspiration from the NiaARM Python and the NiaARM Julia packages, this repository introduces the capability to perform numerical association rule mining in the R programming language. Fister Jr., Iglesias, Galvez, Del Ser, Osaba and Fister (2018) <doi:10.1007/978-3-030-03493-1_9>.

r-npcp 0.2-6
Propagated dependencies: r-sandwich@3.1-1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=npcp
Licenses: GPL 3+ FSDG-compatible
Build system: r
Synopsis: Some Nonparametric CUSUM Tests for Change-Point Detection in Possibly Multivariate Observations
Description:

This package provides nonparametric CUSUM tests for detecting changes in possibly serially dependent univariate or low-dimensional multivariate observations. Retrospective tests sensitive to changes in the expectation, the variance, the covariance, the autocovariance, the distribution function, Spearman's rho, Kendall's tau, Gini's mean difference, and the copula are provided, as well as a test for detecting changes in the distribution of independent block maxima (with environmental studies in mind). The package also contains a test sensitive to changes in the autocopula and a combined test of stationarity sensitive to changes in the distribution function and the autocopula. The latest additions are an open-end sequential test based on the retrospective CUSUM statistic that can be used for monitoring changes in the mean of possibly serially dependent univariate observations, as well as closed-end and open-end sequential tests based on empirical distribution functions that can be used for monitoring changes in the contemporary distribution of possibly serially dependent univariate or low-dimensional multivariate observations.

r-nnlib2rcpp 0.2.9
Propagated dependencies: r-rcpp@1.1.0 r-class@7.3-23
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/VNNikolaidis/nnlib2Rcpp
Licenses: Expat
Build system: r
Synopsis: Tool for Creating Custom Neural Networks in C++ and using Them in R
Description:

This package contains a module to define neural networks from custom components and versions of Autoencoder, BP, LVQ, MAM NN.

r-nomclust 2.8.1
Propagated dependencies: r-rcpp@1.1.0 r-clvalid@0.7 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nomclust
Licenses: GPL 2+
Build system: r
Synopsis: Hierarchical Cluster Analysis of Nominal Data
Description:

Similarity measures for hierarchical clustering of objects characterized by nominal (categorical) variables. Evaluation criteria for nominal data clustering.

r-nlts 1.0-2
Propagated dependencies: r-locfit@1.5-9.12 r-acepack@1.6.3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: http://ento.psu.edu/directory/onb1
Licenses: GPL 3
Build system: r
Synopsis: Nonlinear Time Series Analysis
Description:

R functions for (non)linear time series analysis with an emphasis on nonparametric autoregression and order estimation, and tests for linearity / additivity.

r-nntbiomarker 0.29.11
Propagated dependencies: r-xtable@1.8-4 r-stringr@1.6.0 r-shiny@1.11.1 r-mvbutils@2.8.232 r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NNTbiomarker
Licenses: GPL 3
Build system: r
Synopsis: Calculate Design Parameters for Biomarker Validation Studies
Description:

Helps a clinical trial team discuss the clinical goals of a well-defined biomarker with a diagnostic, staging, prognostic, or predictive purpose. From this discussion will come a statistical plan for a (non-randomized) validation trial. Both prospective and retrospective trials are supported. In a specific focused discussion, investigators should determine the range of "discomfort" for the NNT, number needed to treat. The meaning of the discomfort range, [NNTlower, NNTupper], is that within this range most physicians would feel discomfort either in treating or withholding treatment. A pair of NNT values bracketing that range, NNTpos and NNTneg, become the targets of the study's design. If the trial can demonstrate that a positive biomarker test yields an NNT less than NNTlower, and that a negative biomarker test yields an NNT less than NNTlower, then the biomarker may be useful for patients. A highlight of the package is visualization of a "contra-Bayes" theorem, which produces criteria for retrospective case-controls studies.

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