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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-nricens 1.6
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nricens
Licenses: GPL 2
Build system: r
Synopsis: NRI for Risk Prediction Models with Time to Event and Binary Response Data
Description:

Calculating the net reclassification improvement (NRI) for risk prediction models with time to event and binary data.

r-nser 1.6.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/nandp1/nser/
Licenses: GPL 3
Build system: r
Synopsis: Bhavcopy and Live Market Data from National Stock Exchange (NSE) & Bombay Stock Exchange (BSE) India
Description:

Download Current & Historical Bhavcopy. Get Live Market data from NSE India of Equities and Derivatives (F&O) segment. Data source <https://www.nseindia.com/>.

r-numberize 1.0.2
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/epiverse-trace/numberize
Licenses: Expat
Build system: r
Synopsis: Convert Words to Numbers in Multiple Languages
Description:

Converts number spellings into their equivalent numbers. Supports numbers written in English, French, or Spanish.

r-nnspat 0.1.2
Propagated dependencies: r-rdpack@2.6.4 r-pcds@0.1.8 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nnspat
Licenses: GPL 2
Build system: r
Synopsis: Nearest Neighbor Methods for Spatial Patterns
Description:

This package contains the functions for testing the spatial patterns (of segregation, spatial symmetry, association, disease clustering, species correspondence, and reflexivity) based on nearest neighbor relations, especially using contingency tables such as nearest neighbor contingency tables (Ceyhan (2010) <doi:10.1007/s10651-008-0104-x> and Ceyhan (2017) <doi:10.1016/j.jkss.2016.10.002> and references therein), nearest neighbor symmetry contingency tables (Ceyhan (2014) <doi:10.1155/2014/698296>), species correspondence contingency tables and reflexivity contingency tables (Ceyhan (2018) <doi:10.2436/20.8080.02.72> for two (or higher) dimensional data. The package also contains functions for generating patterns of segregation, association, uniformity in a multi-class setting (Ceyhan (2014) <doi:10.1007/s00477-013-0824-9>), and various non-random labeling patterns for disease clustering in two dimensional cases (Ceyhan (2014) <doi:10.1002/sim.6053>), and for visualization of all these patterns for the two dimensional data. The tests are usually (asymptotic) normal z-tests or chi-square tests.

r-noisysbm 0.1.4
Propagated dependencies: r-rcolorbrewer@1.1-3 r-gtools@3.9.5 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=noisySBM
Licenses: GPL 2
Build system: r
Synopsis: Noisy Stochastic Block Mode: Graph Inference by Multiple Testing
Description:

Variational Expectation-Maximization algorithm to fit the noisy stochastic block model to an observed dense graph and to perform a node clustering. Moreover, a graph inference procedure to recover the underlying binary graph. This procedure comes with a control of the false discovery rate. The method is described in the article "Powerful graph inference with false discovery rate control" by T. Rebafka, E. Roquain, F. Villers (2020) <arXiv:1907.10176>.

r-nat-utils 0.6.1
Propagated dependencies: r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/natverse/nat.utils
Licenses: GPL 3+
Build system: r
Synopsis: File System Utility Functions for 'NeuroAnatomy Toolbox'
Description:

Utility functions that may be of general interest but are specifically required by the NeuroAnatomy Toolbox ('nat'). Includes functions to provide a basic make style system to update files based on timestamp information, file locking and touch utility. Convenience functions for working with file paths include abs2rel', split_path and common_path'. Finally there are utility functions for working with zip and gzip files including integrity tests.

r-nmslibr 1.0.7
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/mlampros/nmslibR
Licenses: ASL 2.0
Build system: r
Synopsis: Non Metric Space (Approximate) Library
Description:

This package provides a Non-Metric Space Library ('NMSLIB <https://github.com/nmslib/nmslib>) wrapper, which according to the authors "is an efficient cross-platform similarity search library and a toolkit for evaluation of similarity search methods. The goal of the NMSLIB <https://github.com/nmslib/nmslib> Library is to create an effective and comprehensive toolkit for searching in generic non-metric spaces. Being comprehensive is important, because no single method is likely to be sufficient in all cases. Also note that exact solutions are hardly efficient in high dimensions and/or non-metric spaces. Hence, the main focus is on approximate methods". The wrapper also includes Approximate Kernel k-Nearest-Neighbor functions based on the NMSLIB <https://github.com/nmslib/nmslib> Python Library.

r-nonlineardotplot 0.5.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nonLinearDotPlot
Licenses: Expat
Build system: r
Synopsis: Non Linear Dot Plots
Description:

Non linear dot plots are diagrams that allow dots of varying size to be constructed, so that columns with a large number of samples are reduced in height. Implementation of algorithm described in: Nils Rodrigues and Daniel Weiskopf, "Nonlinear Dot Plots", IEEE Transactions on Visualization and Computer Graphics, vol. 24, no. 1, pp. 616-625, 2018. <doi:10.1109/TVCG.2017.2744018>.

r-naflex 0.1.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/dannyparsons/naflex
Licenses: LGPL 3+
Build system: r
Synopsis: Flexible Options for Handling Missing Values
Description:

For use in summary functions to omit missing values conditionally using specified checks.

r-nat-nblast 1.6.9
Propagated dependencies: r-spam@2.11-1 r-rgl@1.3.31 r-plyr@1.8.9 r-nat@1.8.25 r-nabor@0.5.0 r-dendroextras@0.2.3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://natverse.org/nat.nblast/
Licenses: GPL 3
Build system: r
Synopsis: NeuroAnatomy Toolbox ('nat') Extension for Assessing Neuron Similarity and Clustering
Description:

Extends package nat (NeuroAnatomy Toolbox) by providing a collection of NBLAST-related functions for neuronal morphology comparison (Costa et al. (2016) <doi: 10.1016/j.neuron.2016.06.012>).

r-networksem 0.4
Propagated dependencies: r-sna@2.8 r-network@1.19.0 r-lavaan@0.6-20 r-latentnet@2.12.0 r-influential@2.3.0 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=networksem
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Network Structural Equation Modeling
Description:

Several methods have been developed to integrate structural equation modeling techniques with network data analysis to examine the relationship between network and non-network data. Both node-based and edge-based information can be extracted from the network data to be used as observed variables in structural equation modeling. To facilitate the application of these methods, model specification can be performed in the familiar syntax of the lavaan package, ensuring ease of use for researchers. Technical details and examples can be found at <https://bigsem.psychstat.org>.

r-nodesub 1.2.9
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/thijsjanzen/nodeSub
Licenses: GPL 3
Build system: r
Synopsis: Simulate DNA Alignments Using Node Substitutions
Description:

Simulate DNA sequences for the node substitution model. In the node substitution model, substitutions accumulate additionally during a speciation event, providing a potential mechanistic explanation for substitution rate variation. This package provides tools to simulate such a process, simulate a reference process with only substitutions along the branches, and provides tools to infer phylogenies from alignments. More information can be found in Janzen (2021) <doi:10.1093/sysbio/syab085>.

r-nbc4va 1.2
Propagated dependencies: r-shiny@1.11.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nbc4va
Licenses: GPL 3
Build system: r
Synopsis: Bayes Classifier for Verbal Autopsy Data
Description:

An implementation of the Naive Bayes Classifier (NBC) algorithm used for Verbal Autopsy (VA) built on code from Miasnikof et al (2015) <DOI:10.1186/s12916-015-0521-2>.

r-npwbs 0.2.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=npwbs
Licenses: GPL 3
Build system: r
Synopsis: Nonparametric Multiple Change Point Detection Using WBS
Description:

This package implements the procedure from G. J. Ross (2021) - "Nonparametric Detection of Multiple Location-Scale Change Points via Wild Binary Segmentation" <arxiv:2107.01742>. This uses a version of Wild Binary Segmentation to detect multiple location-scale (i.e. mean and/or variance) change points in a sequence of univariate observations, with a strict control on the probability of incorrectly detecting a change point in a sequence which does not contain any.

r-nppbib 1.2-0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/dalling1
Licenses: GPL 3
Build system: r
Synopsis: Nonparametric Partially-Balanced Incomplete Block Design Analysis
Description:

This package implements a nonparametric statistical test for rank or score data from partially-balanced incomplete block-design experiments.

r-nparld 2.2
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nparLD
Licenses: GPL 2+
Build system: r
Synopsis: Nonparametric Analysis of Longitudinal Data in Factorial Experiments
Description:

This package performs nonparametric analysis of longitudinal data in factorial experiments. Longitudinal data are those which are collected from the same subjects over time, and they frequently arise in biological sciences. Nonparametric methods do not require distributional assumptions, and are applicable to a variety of data types (continuous, discrete, purely ordinal, and dichotomous). Such methods are also robust with respect to outliers and for small sample sizes.

r-nivm 0.6
Propagated dependencies: r-ssanv@1.1 r-bpcp@1.5.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nivm
Licenses: GPL 3+
Build system: r
Synopsis: Noninferiority Tests with Variable Margins
Description:

Noninferiority tests for difference in failure rates at a prespecified control rate or prespecified time. For details, see Fay and Follmann, 2016 <DOI:10.1177/1740774516654861>.

r-nbconv 1.0.1
Propagated dependencies: r-matrixstats@1.5.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/gbedwell/nbconv
Licenses: GPL 3+
Build system: r
Synopsis: Evaluate Arbitrary Negative Binomial Convolutions
Description:

Three distinct methods are implemented for evaluating the sums of arbitrary negative binomial distributions. These methods are: Furman's exact probability mass function (Furman (2007) <doi:10.1016/j.spl.2006.06.007>), saddlepoint approximation, and a method of moments approximation. Functions are provided to calculate the density function, the distribution function and the quantile function of the convolutions in question given said evaluation methods. Functions for generating random deviates from negative binomial convolutions and for directly calculating the mean, variance, skewness, and excess kurtosis of said convolutions are also provided.

r-nhlscraper 0.5.0
Propagated dependencies: r-jsonlite@2.0.0 r-httr2@1.2.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://rentosaijo.github.io/nhlscraper/
Licenses: GPL 3+
Build system: r
Synopsis: Scraper for National Hockey League Data
Description:

Scrapes and cleans data from the NHL and ESPN APIs into data.frames and lists. Wraps 125+ endpoints documented in <https://github.com/RentoSaijo/nhlscraper/wiki> from high-level multi-season summaries and award winners to low-level decisecond replays and bookmakers odds, making them more accessible. Features cleaning and visualization tools, primarily for play-by-plays.

r-nmdata 0.2.3
Propagated dependencies: r-fst@0.9.8 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://nmautoverse.github.io/NMdata/
Licenses: Expat
Build system: r
Synopsis: Preparation, Checking and Post-Processing Data for PK/PD Modeling
Description:

Efficient tools for preparation, checking and post-processing of data in PK/PD (pharmacokinetics/pharmacodynamics) modeling, with focus on use of Nonmem, including consistency, traceability, and Nonmem compatibility of Data. Rigorously checks final Nonmem datasets. Implemented in data.table', but easily integrated with base and tidyverse'.

r-ncc 1.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://pavlakrotka.github.io/NCC/
Licenses: Expat
Build system: r
Synopsis: Simulation and Analysis of Platform Trials with Non-Concurrent Controls
Description:

Design and analysis of flexible platform trials with non-concurrent controls. Functions for data generation, analysis, visualization and running simulation studies are provided. The implemented analysis methods are described in: Bofill Roig et al. (2022) <doi:10.1186/s12874-022-01683-w>, Saville et al. (2022) <doi:10.1177/17407745221112013> and Schmidli et al. (2014) <doi:10.1111/biom.12242>.

r-neverhpfilter 0.5-0
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://justinmshea.github.io/neverhpfilter/
Licenses: GPL 3
Build system: r
Synopsis: An Alternative to the Hodrick-Prescott Filter
Description:

In the working paper titled "Why You Should Never Use the Hodrick-Prescott Filter", James D. Hamilton proposes a new alternative to economic time series filtering. The neverhpfilter package provides functions and data for reproducing his work. Hamilton (2017) <doi:10.3386/w23429>.

r-nimbleapt 1.0.7
Propagated dependencies: r-nimble@1.4.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/DRJP/nimbleAPT
Licenses: Modified BSD
Build system: r
Synopsis: Adaptive Parallel Tempering for 'NIMBLE'
Description:

This package provides functions for adaptive parallel tempering (APT) with NIMBLE models. Adapted from Lacki & Miasojedow (2016) <DOI:10.1007/s11222-015-9579-0> and Miasojedow, Moulines and Vihola (2013) <DOI:10.1080/10618600.2013.778779>.

r-nimblewomble 0.1.0
Propagated dependencies: r-terra@1.8-86 r-sp@2.2-0 r-sf@1.0-23 r-nimble@1.4.1 r-metr@0.18.3 r-mba@0.1-2 r-ggspatial@1.1.10 r-ggplot2@4.0.1 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nimblewomble
Licenses: Expat
Build system: r
Synopsis: Bayesian Wombling using 'nimble'
Description:

This package provides a software package to perform Wombling, or boundary analysis, using the nimble Bayesian hierarchical modeling environment. Wombling is used widely to track regions of rapid change within the spatial reference domain. Specific functions in the package implement Gaussian process models for point-referenced spatial data followed by predictive inference on rates of change over curves using line integrals. We demonstrate model based Bayesian inference using posterior distributions featuring simple analytic forms while offering uncertainty quantification over curves. For more details on wombling please see, Banerjee and Gelfand (2006) <doi:10.1198/016214506000000041> and Halder, Banerjee and Dey (2024) <doi:10.1080/01621459.2023.2177166>.

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