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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-novicedeveloperresources2 1.1.0
Propagated dependencies: r-novicedeveloperresources@1.2.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NoviceDeveloperResources2
Licenses: GPL 2+
Build system: r
Synopsis: Further Resources to Assist Novice Developers
Description:

Assist novice developers when preparing a single package or a set of integrated packages to submit to CRAN. Provide additional resources to facilitate the automation of the following individual or batch processing: check local source packages; build local .tar.gz source files; install packages from local .tar.gz files; detect conflicts between function names in the environment. The additional resources include determining the identity and ordering of the packages to process when updating an imported package.

r-nada2 2.0.1
Propagated dependencies: r-vegan@2.7-2 r-survminer@0.5.1 r-survival@3.8-3 r-perm@1.0-0.4 r-nbclust@3.0.1 r-multcomp@1.4-29 r-mgcv@1.9-4 r-kendall@2.2.1 r-fitdistrplus@1.2-4 r-envstats@3.1.0 r-coin@1.4-3 r-cengam@0.5.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/SwampThingPaul/NADA2
Licenses: Expat
Build system: r
Synopsis: Data Analysis for Censored Environmental Data
Description:

This package contains methods described by Dennis Helsel in his book "Statistics for Censored Environmental Data using Minitab and R" (2011) and courses and videos at <https://practicalstats.com>. This package incorporates functions of NADA and adds new functionality.

r-neodistr 0.1.2
Propagated dependencies: r-shinythemes@1.2.0 r-shiny@1.11.1 r-rstan@2.32.7 r-rmpfr@1.1-2 r-plotly@4.11.0 r-ggplot2@4.0.1 r-brms@2.23.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/madsyair/neodistr
Licenses: GPL 3
Build system: r
Synopsis: Neo-Normal Distribution
Description:

Calculating the density, cumulative distribution, quantile, and random number of neo-normal distribution. It also interfaces with the brms package, allowing the use of the neo-normal distribution as a custom family. This integration enables the application of various brms formulas for neo-normal regression. Modified to be Stable as Normal from Burr (MSNBurr), Modified to be Stable as Normal from Burr-IIa (MSNBurr-IIa), Generalized of MSNBurr (GMSNBurr), Jones-Faddy Skew-t, Fernandez-Osiewalski-Steel Skew Exponential Power, and Jones Skew Exponential Power distributions are supported. References: Choir, A. S. (2020).Unpublished Dissertation, Iriawan, N. (2000).Unpublished Dissertation, Rigby, R. A., Stasinopoulos, M. D., Heller, G. Z., & Bastiani, F. D. (2019) <doi:10.1201/9780429298547>.

r-nima 0.6.2
Propagated dependencies: r-scales@1.4.0 r-gtools@3.9.5 r-gridextra@2.3 r-ggthemes@5.1.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/nhejazi/nima
Licenses: Expat
Build system: r
Synopsis: Nima Hejazi's R Toolbox
Description:

Miscellaneous R functions developed as collateral damage over the course of work in statistical and scientific computing for research. These include, for example, utilities that supplement existing idiosyncrasies of the R language, extend existing plotting functionality and aesthetics, help prepare data objects for imputation, and extend access to command line tools and systems-level information.

r-nortstest 1.1.3
Propagated dependencies: r-zoo@1.8-14 r-uroot@2.1-3 r-tseries@0.10-58 r-nortest@1.0-4 r-mass@7.3-65 r-gridextra@2.3 r-ggplot2@4.0.1 r-forecast@8.24.0 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/asael697/nortsTest
Licenses: GPL 2
Build system: r
Synopsis: Assessing Normality of Stationary Process
Description:

Despite that several tests for normality in stationary processes have been proposed in the literature, consistent implementations of these tests in programming languages are limited. Seven normality test are implemented. The asymptotic Lobato & Velasco's, asymptotic Epps, Psaradakis and Vávra, Lobato & Velasco's and Epps sieve bootstrap approximations, El bouch et al., and the random projections tests for univariate stationary process. Some other diagnostics such as, unit root test for stationarity, seasonal tests for seasonality, and arch effect test for volatility; are also performed. Additionally, the El bouch test performs normality tests for bivariate time series. The package also offers residual diagnostic for linear time series models developed in several packages.

r-nbr 0.1.5
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=NBR
Licenses: GPL 3+
Build system: r
Synopsis: Network-Based R-Statistics using Mixed Effects Models
Description:

An implementation of network-based statistics in R using mixed effects models. Theoretical background for Network-Based Statistics can be found in Zalesky et al. (2010) <doi:10.1016/j.neuroimage.2010.06.041>. For Mixed Effects Models check the R package <https://CRAN.R-project.org/package=nlme>.

r-noncomplyr 1.0
Propagated dependencies: r-mcmcpack@1.7-1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=noncomplyR
Licenses: GPL 2
Build system: r
Synopsis: Bayesian Analysis of Randomized Experiments with Non-Compliance
Description:

This package provides functions for Bayesian analysis of data from randomized experiments with non-compliance. The functions are based on the models described in Imbens and Rubin (1997) <doi:10.1214/aos/1034276631>. Currently only two types of outcome models are supported: binary outcomes and normally distributed outcomes. Models can be fit with and without the exclusion restriction and/or the strong access monotonicity assumption. Models are fit using the data augmentation algorithm as described in Tanner and Wong (1987) <doi:10.2307/2289457>.

r-ncappc 1.0.0
Propagated dependencies: r-xtable@1.8-4 r-tidyr@1.3.1 r-tibble@3.3.0 r-scales@1.4.0 r-rmarkdown@2.30 r-rlang@1.1.6 r-reshape2@1.4.5 r-readr@2.1.6 r-purrr@1.2.0 r-poped@0.7.0 r-magrittr@2.0.4 r-lazyeval@0.2.2 r-knitr@1.50 r-gtable@0.3.6 r-gridextra@2.3 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-bookdown@0.45
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/UUPharmacometrics/ncappc
Licenses: GPL 3
Build system: r
Synopsis: NCA Calculations and Population Model Diagnosis
Description:

This package provides a flexible tool that can perform (i) traditional non-compartmental analysis (NCA) and (ii) Simulation-based posterior predictive checks for population pharmacokinetic (PK) and/or pharmacodynamic (PKPD) models using NCA metrics. The methods are described in Acharya et al. (2016) <doi:10.1016/j.cmpb.2016.01.013>.

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-numbers 0.9-2
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=numbers
Licenses: GPL 3+
Build system: r
Synopsis: Number-Theoretic Functions
Description:

This package provides number-theoretic functions for factorization, prime numbers, twin primes, primitive roots, modular logarithm and inverses, extended GCD, Farey series and continued fractions. Includes Legendre and Jacobi symbols, some divisor functions, Euler's Phi function, etc.

r-npmlecmprsk 3.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NPMLEcmprsk
Licenses: Artistic License 2.0
Build system: r
Synopsis: Type-Specific Failure Rate and Hazard Rate on Competing Risks Data
Description:

Given a failure type, the function computes covariate-specific probability of failure over time and covariate-specific conditional hazard rate based on possibly right-censored competing risk data. Specifically, it computes the non-parametric maximum-likelihood estimates of these quantities and their asymptotic variances in a semi-parametric mixture model for competing-risks data, as described in Chang et al. (2007a).

r-navigatr 0.2.1
Propagated dependencies: r-vctrs@0.6.5 r-tidyselect@1.2.1 r-stickyr@0.1.2 r-rlang@1.1.6 r-purrr@1.2.0 r-pillar@1.11.1 r-lifecycle@1.0.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/UchidaMizuki/navigatr
Licenses: Expat
Build system: r
Synopsis: Navigation Menu for Pipe-Friendly Data Processing
Description:

This package provides a navigation menu to enable pipe-friendly data processing for hierarchical data structures. By activating the menu items, you can perform operations on each item while maintaining the overall structure in attributes.

r-nascar-data 2.2.3
Propagated dependencies: r-stringr@1.6.0 r-stringdist@0.9.15 r-rvest@1.0.5 r-rlang@1.1.6 r-purrr@1.2.0 r-glue@1.8.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://www.kyleGrealis.com/nascaR.data/
Licenses: GPL 3+
Build system: r
Synopsis: NASCAR Race Data
Description:

This package provides a collection of NASCAR race, driver, owner and manufacturer data across the three major NASCAR divisions: NASCAR Cup Series, NASCAR Xfinity Series, and NASCAR Craftsman Truck Series. The curated data begins with the 1949 season and extends through the end of the 2024 season. Explore race, season, or career performance for drivers, teams, and manufacturers throughout NASCAR's history. Data was sourced with permission from DriverAverages.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-nphpower 1.1.0
Propagated dependencies: r-zoo@1.8-14 r-survival@3.8-3 r-mvtnorm@1.3-3 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/hcheng99/nphPower
Licenses: GPL 2+
Build system: r
Synopsis: Sample Size Calculation under Non-Proportional Hazards
Description:

This package performs combination tests and sample size calculation for fixed design with survival endpoints using combination tests under either proportional hazards or non-proportional hazards. The combination tests include maximum weighted log-rank test and projection test. The sample size calculation procedure is very flexible, allowing for user-defined hazard ratio function and considering various trial conditions like staggered entry, drop-out etc. The sample size calculation also applies to various cure models such as proportional hazards cure model, cure model with (random) delayed treatments effects. Trial simulation function is also provided to facilitate the empirical power calculation. The references for projection test and maximum weighted logrank test include Brendel et al. (2014) <doi:10.1111/sjos.12059> and Cheng and He (2021) <arXiv:2110.03833>. The references for sample size calculation under proportional hazard include Schoenfeld (1981) <doi:10.1093/biomet/68.1.316> and Freedman (1982) <doi:10.1002/sim.4780010204>. The references for calculation under non-proportional hazards include Lakatos (1988) <doi:10.2307/2531910> and Cheng and He (2023) <doi:10.1002/bimj.202100403>.

r-nettskjemar 1.0.4
Propagated dependencies: r-jsonlite@2.0.0 r-httr2@1.2.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/CAPRO-UiO/nettskjemar
Licenses: Expat
Build system: r
Synopsis: Connect to the 'nettskjema.no' API of the University of Oslo
Description:

Enables users to retrieve data, meta-data, and codebooks from <https://nettskjema.no/>. The data from the API is richer than from the online data portal. This package is not developed by the University of Oslo IT. Mowinckel (2021) <doi:10.5281/zenodo.4745481>.

r-no-ping-pong 0.1.8.7
Propagated dependencies: r-metafor@4.8-0 r-mcmcglmm@2.36 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=NO.PING.PONG
Licenses: GPL 2+
Build system: r
Synopsis: Incorporating Previous Findings When Evaluating New Data
Description:

This package provides functions for revealing what happens when effect size estimates from previous studies are taken into account when evaluating each new dataset in a study sequence. The analyses can be conducted for cumulative meta-analyses and for Bayesian data analyses. The package contains sample data for a wide selection of research topics. Jointly considering previous findings along with new data is more likely to result in correct conclusions than does the traditional practice of not incorporating previous findings, which often results in a back and forth ping-pong of conclusions when evaluating a sequence of studies. O'Connor & Ermacora (2021, <doi:10.1037/cbs0000259>).

r-nbdesign 2.0.0
Propagated dependencies: r-pweall@1.3.0.1 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=NBDesign
Licenses: GPL 2+
Build system: r
Synopsis: Design and Monitoring of Clinical Trials with Negative Binomial Endpoint
Description:

Calculate various functions needed for design and monitoring clinical trials with negative binomial endpoint with variable follow-up. This version has a few changes compared to the previous version 1.0.0, including (1) correct a typo in Type 1 censoring, mtbnull=bnull and (2) restructure the code to account for shape parameter equal to zero, i.e. Poisson scenario.

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-nnt 0.1.4
Propagated dependencies: r-survrm2@1.0-4 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=nnt
Licenses: GPL 3
Build system: r
Synopsis: The Number Needed to Treat (NNT) for Survival Endpoint
Description:

Estimate the NNT using the proposed method in Yang and Yin's paper (2019) <doi:10.1371/journal.pone.0223301>, in which the NNT-RMST (number needed to treat based on the restricted mean survival time) is defined as the RMST (restricted mean survival time) in the control group divided by the difference in RMSTs between the treatment and control groups up to a chosen time t.

r-nlsr 2023.8.31
Propagated dependencies: r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nlsr
Licenses: GPL 2
Build system: r
Synopsis: Functions for Nonlinear Least Squares Solutions - Updated 2022
Description:

This package provides tools for working with nonlinear least squares problems. For the estimation of models reliable and robust tools than nls(), where the the Gauss-Newton method frequently stops with singular gradient messages. This is accomplished by using, where possible, analytic derivatives to compute the matrix of derivatives and a stabilization of the solution of the estimation equations. Tools for approximate or externally supplied derivative matrices are included. Bounds and masks on parameters are handled properly.

r-narray 0.5.2
Propagated dependencies: r-stringr@1.6.0 r-rcpp@1.1.0 r-progress@1.2.3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/mschubert/narray
Licenses: ASL 2.0 FSDG-compatible
Build system: r
Synopsis: Subset- And Name-Aware Array Utility Functions
Description:

Stacking arrays according to dimension names, subset-aware splitting and mapping of functions, intersecting along arbitrary dimensions, converting to and from data.frames, and many other helper functions.

r-nntmvn 1.3.0
Propagated dependencies: r-truncatednormal@2.3 r-tidyr@1.3.1 r-rcpp@1.1.0 r-rann@2.6.2 r-r-utils@2.13.0 r-lhs@1.2.0 r-gpgp@1.0.0 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nntmvn
Licenses: GPL 2+
Build system: r
Synopsis: Draw Samples of Truncated Multivariate Normal Distributions
Description:

Draw samples from truncated multivariate normal distribution using the sequential nearest neighbor (SNN) method introduced in "Scalable Sampling of Truncated Multivariate Normals Using Sequential Nearest-Neighbor Approximation" <doi:10.48550/arXiv.2406.17307>.

r-nphmc 2.4.2
Propagated dependencies: r-survival@3.8-3 r-smcure@2.2
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NPHMC
Licenses: GPL 2
Build system: r
Synopsis: Sample Size Calculation for the Proportional Hazards Mixture Cure Model
Description:

An R-package for calculating sample size of a survival trial with or without cure fractions.

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Total results: 68658