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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-pminternal 0.1.0
Propagated dependencies: r-purrr@1.2.0 r-proc@1.19.0.1 r-pmcalibration@0.2.0 r-pbapply@1.7-4 r-marginaleffects@0.31.0 r-insight@1.4.3 r-dcurves@0.5.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/stephenrho/pminternal
Licenses: GPL 3
Build system: r
Synopsis: Internal Validation of Clinical Prediction Models
Description:

Conduct internal validation of a clinical prediction model for a binary outcome. Produce bias corrected performance metrics (c-statistic, Brier score, calibration intercept/slope) via bootstrap (simple bootstrap, bootstrap optimism, .632 optimism) and cross-validation (CV optimism, CV average). Also includes functions to assess model stability via bootstrap resampling. See Steyerberg et al. (2001) <doi:10.1016/s0895-4356(01)00341-9>; Harrell (2015) <doi:10.1007/978-3-319-19425-7>; Riley and Collins (2023) <doi:10.1002/bimj.202200302>.

r-psychomix 1.1-9
Propagated dependencies: r-psychotools@0.7-5 r-modeltools@0.2-24 r-lattice@0.22-7 r-formula@1.2-5 r-flexmix@2.3-20
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=psychomix
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Psychometric Mixture Models
Description:

Psychometric mixture models based on flexmix infrastructure. At the moment Rasch mixture models with different parameterizations of the score distribution (saturated vs. mean/variance specification), Bradley-Terry mixture models, and MPT mixture models are implemented. These mixture models can be estimated with or without concomitant variables. See Frick et al. (2012) <doi:10.18637/jss.v048.i07> and Frick et al. (2015) <doi:10.1177/0013164414536183> for details on the Rasch mixture models.

r-pam 2.0.0
Propagated dependencies: r-rlang@1.1.6 r-minpack-lm@1.2-4 r-metrics@0.1.4 r-gridextra@2.3 r-ggthemes@5.1.0 r-ggplot2@4.0.1 r-data-table@1.17.8 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/biotoolbox/pam
Licenses: GPL 3
Build system: r
Synopsis: Fast and Efficient Processing of PAM Data
Description:

Processing Chlorophyll Fluorescence & P700 Absorbance data. Four models are provided for the regression of Pi curves, which can be compared with each other in order to select the most suitable model for the data set. Control plots ensure the successful verification of each regression. Bundled output of alpha, ETRmax, Ik etc. enables fast and reliable further processing of the data.

r-purging 1.0.0
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=purging
Licenses: Expat
Build system: r
Synopsis: Simple Method for Purging Mediation Effects among Independent Variables
Description:

Simple method of purging independent variables of mediating effects. First, regress the direct variable on the indirect variable. Then, used the stored residuals as the new purged (direct) variable in the updated specification. This purging process allows for use of a new direct variable uncorrelated with the indirect variable. Please cite the method and/or package using Waggoner, Philip D. (2018) <doi:10.1177/1532673X18759644>.

r-phsmm 1.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PHSMM
Licenses: GPL 3
Build system: r
Synopsis: Penalised Maximum Likelihood Estimation for Hidden Semi-Markov Models
Description:

This package provides tools for penalised maximum likelihood estimation of hidden semi-Markov models (HSMMs) with flexible state dwell-time distributions. These include functions for model fitting, model checking and state-decoding. The package considers HSMMs for univariate time series with state-dependent gamma, normal, Poisson or Bernoulli distributions. For details, see Pohle, J., Adam, T. and Beumer, L.T. (2021): Flexible estimation of the state dwell-time distribution in hidden semi-Markov models. <arXiv:2101.09197>.

r-prothmm 0.1.1
Propagated dependencies: r-phontools@0.2-2.2 r-gtools@3.9.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://semran9.github.io/protHMM/
Licenses: GPL 3+
Build system: r
Synopsis: Protein Feature Extraction from Profile Hidden Markov Models
Description:

Calculates a comprehensive list of features from profile hidden Markov models (HMMs) of proteins. Adapts and ports features for use with HMMs instead of Position Specific Scoring Matrices, in order to take advantage of more accurate multiple sequence alignment by programs such as HHBlits Remmert et al. (2012) <DOI:10.1038/nmeth.1818> and HMMer Eddy (2011) <DOI:10.1371/journal.pcbi.1002195>. Features calculated by this package can be used for protein fold classification, protein structural class prediction, sub-cellular localization and protein-protein interaction, among other tasks. Some examples of features extracted are found in Song et al. (2018) <DOI:10.3390/app8010089>, Jin & Zhu (2021) <DOI:10.1155/2021/8629776>, Lyons et al. (2015) <DOI:10.1109/tnb.2015.2457906> and Saini et al. (2015) <DOI:10.1016/j.jtbi.2015.05.030>.

r-psyntur 0.1.1
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-rlang@1.1.6 r-purrr@1.2.0 r-psych@2.5.6 r-plyr@1.8.9 r-magrittr@2.0.4 r-ggthemes@5.1.0 r-ggplot2@4.0.1 r-ggally@2.4.0 r-formula-tools@1.7.1 r-fastdummies@1.7.5 r-effsize@0.8.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=psyntur
Licenses: GPL 3
Build system: r
Synopsis: Helper Tools for Teaching Statistical Data Analysis
Description:

This package provides functions and data-sets that are helpful for teaching statistics and data analysis. It was originally designed for use when teaching students in the Psychology Department at Nottingham Trent University.

r-parallellogger 3.5.1
Propagated dependencies: r-xml2@1.5.0 r-snow@0.4-4 r-rstudioapi@0.17.1 r-memuse@4.2-3 r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://ohdsi.github.io/ParallelLogger/
Licenses: ASL 2.0
Build system: r
Synopsis: Support for Parallel Computation, Logging, and Function Automation
Description:

Support for parallel computation with progress bar, and option to stop or proceed on errors. Also provides logging to console and disk, and the logging persists in the parallel threads. Additional functions support function call automation with delayed execution (e.g. for executing functions in parallel).

r-portfoliotester 0.1.4
Propagated dependencies: r-zoo@1.8-14 r-ttr@0.24.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/AlbertoPallotta/PortfolioTesteR
Licenses: Expat
Build system: r
Synopsis: Test Investment Strategies with English-Like Code
Description:

Design, backtest, and analyze portfolio strategies using simple, English-like function chains. Includes technical indicators, flexible stock selection, portfolio construction methods (equal weighting, signal weighting, inverse volatility, hierarchical risk parity), and a compact backtesting engine for portfolio returns, drawdowns, and summary metrics.

r-pixels 0.1.1
Propagated dependencies: r-shiny@1.11.1 r-miniui@0.1.2 r-htmlwidgets@1.6.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/javierluraschi/pixels
Licenses: Expat
Build system: r
Synopsis: Tools for Working with Image Pixels
Description:

This package provides tools to show and draw image pixels using HTML widgets and Shiny applications. It can be used to visualize the MNIST dataset for handwritten digit recognition or to create new image recognition datasets.

r-pensynth 0.8.1
Propagated dependencies: r-matrix@1.7-4 r-lifecycle@1.0.4 r-cli@3.6.5 r-clarabel@0.11.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/vankesteren/pensynth
Licenses: Expat
Build system: r
Synopsis: Penalized Synthetic Control Estimation
Description:

Estimate penalized synthetic control models and perform hold-out validation to determine their penalty parameter. This method is based on the work by Abadie & L'Hour (2021) <doi:10.1080/01621459.2021.1971535>. Penalized synthetic controls smoothly interpolate between one-to-one matching and the synthetic control method.

r-podes 0.1.0
Propagated dependencies: r-readxl@1.4.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PODES
Licenses: GPL 3
Build system: r
Synopsis: Village Potential Statistics of Indonesia
Description:

Village potential statistics (PODES) collects various information on village potential and challenges faced by villages in Indonesia. Information related to village potential includes economy, security, health, employment, communication and information, sports, entertainment, development, community empowerment, education, socio-culture, transportation in the village. Information related to challenges includes natural disasters, public health, environmental pollution, social problems and security disturbances that occur in the village.

r-pgirmess 2.0.3
Propagated dependencies: r-spdep@1.4-1 r-sp@2.2-0 r-sf@1.0-23 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/pgiraudoux/pgirmess
Licenses: GPL 2+
Build system: r
Synopsis: Spatial Analysis and Data Mining for Field Ecologists
Description:

Set of tools for reading, writing and transforming spatial and seasonal data, model selection and specific statistical tests for ecologists. It includes functions to interpolate regular positions of points between landmarks, to discretize polylines into regular point positions, link distant observations to points and convert a bounding box in a spatial object. It also provides miscellaneous functions for field ecologists such as spatial statistics and inference on diversity indexes, writing data.frame with Chinese characters.

r-posthoc 0.1.3
Propagated dependencies: r-multcomp@1.4-29 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://tildeweb.au.dk/au33031/astatlab/software/posthoc
Licenses: GPL 3+
Build system: r
Synopsis: Tools for Post-Hoc Analysis
Description:

This package implements a range of facilities for post-hoc analysis and summarizing linear models, generalized linear models and generalized linear mixed models, including grouping and clustering via pairwise comparisons using graph representations and efficient algorithms for finding maximal cliques of a graph. Includes also non-parametric toos for post-hoc analysis. It has S3 methods for printing summarizing, and producing plots, line and barplots suitable for post-hoc analyses.

r-presenceabsence 1.1.11
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PresenceAbsence
Licenses: FSDG-compatible
Build system: r
Synopsis: Presence-Absence Model Evaluation
Description:

This package provides a set of functions useful when evaluating the results of presence-absence models. Package includes functions for calculating threshold dependent measures such as confusion matrices, pcc, sensitivity, specificity, and Kappa, and produces plots of each measure as the threshold is varied. It will calculate optimal threshold choice according to a choice of optimization criteria. It also includes functions to plot the threshold independent ROC curves along with the associated AUC (area under the curve).

r-pathmodelfit 1.0.5
Propagated dependencies: r-lavaan@0.6-20
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pathmodelfit
Licenses: GPL 3
Build system: r
Synopsis: Path Component Fit Indices for Latent Structural Equation Models
Description:

This package provides functions for computing fit indices for evaluating the path component of latent variable structural equation models. Available fit indices include RMSEA-P and NSCI-P originally presented and evaluated by Williams and O'Boyle (2011) <doi:10.1177/1094428110391472> and demonstrated by O'Boyle and Williams (2011) <doi:10.1037/a0020539> and Williams, O'Boyle, & Yu (2020) <doi:10.1177/1094428117736137>. Also included are fit indices described by Hancock and Mueller (2011) <doi:10.1177/0013164410384856>.

r-preciseplacement 0.2.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=precisePlacement
Licenses: Expat
Build system: r
Synopsis: Suite of Functions to Help Get Plot Elements Exactly Where You Want Them
Description:

This package provides a selection of tools that make it easier to place elements onto a (base R) plot exactly where you want them. It allows users to identify points and distances on a plot in terms of inches, pixels, margin lines, data units, and proportions of the plotting space, all in a manner more simple than manipulating par().

r-pbnpa 0.0.3
Propagated dependencies: r-metarnaseq@1.0.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PBNPA
Licenses: GPL 2+
Build system: r
Synopsis: Permutation Based Non-Parametric Analysis of CRISPR Screen Data
Description:

Permutation based non-parametric analysis of CRISPR screen data. Details about this algorithm are published in the following paper published on BMC genomics, Jia et al. (2017) <doi:10.1186/s12864-017-3938-5>: A permutation-based non-parametric analysis of CRISPR screen data. Please cite this paper if you use this algorithm for your paper.

r-panelpomp 1.7.0.0
Propagated dependencies: r-pomp@6.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=panelPomp
Licenses: GPL 3
Build system: r
Synopsis: Inference for Panel Partially Observed Markov Processes
Description:

Data analysis based on panel partially-observed Markov process (PanelPOMP) models. To implement such models, simulate them and fit them to panel data, panelPomp extends some of the facilities provided for time series data by the pomp package. Implemented methods include filtering (panel particle filtering) and maximum likelihood estimation (Panel Iterated Filtering) as proposed in Breto, Ionides and King (2020) "Panel Data Analysis via Mechanistic Models" <doi:10.1080/01621459.2019.1604367>.

r-prophet 1.1.7
Propagated dependencies: r-xts@0.14.1 r-tidyr@1.3.1 r-stanheaders@2.32.10 r-scales@1.4.0 r-rstantools@2.5.0 r-rstan@2.32.7 r-rlang@1.1.6 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-lubridate@1.9.4 r-ggplot2@4.0.1 r-extradistr@1.10.0 r-dygraphs@1.1.1.6 r-dplyr@1.1.4 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/facebook/prophet
Licenses: Expat
Build system: r
Synopsis: Automatic Forecasting Procedure
Description:

This package implements a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.

r-paleobiodb 1.0.1
Propagated dependencies: r-terra@1.8-86 r-maps@3.4.3 r-jsonlite@2.0.0 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://docs.ropensci.org/paleobioDB/
Licenses: GPL 2
Build system: r
Synopsis: Download and Process Data from the Paleobiology Database
Description:

Includes functions to wrap most endpoints of the PaleobioDB API and to visualize and process the obtained fossil data. The API documentation for the Paleobiology Database can be found at <https://paleobiodb.org/data1.2/>.

r-powerpkg 1.6
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=powerpkg
Licenses: GPL 2+
Build system: r
Synopsis: Power Analyses for the Affected Sib Pair and the TDT Design
Description:

There are two main functions: (1) To estimate the power of testing for linkage using an affected sib pair design, as a function of the recurrence risk ratios. We will use analytical power formulae as implemented in R. These are based on a Mathematica notebook created by Martin Farrall. (2) To examine how the power of the transmission disequilibrium test (TDT) depends on the disease allele frequency, the marker allele frequency, the strength of the linkage disequilibrium, and the magnitude of the genetic effect. We will use an R program that implements the power formulae of Abel and Muller-Myhsok (1998). These formulae allow one to quickly compute power of the TDT approach under a variety of different conditions. This R program was modeled on Martin Farrall's Mathematica notebook.

r-ptools 2.0.0
Propagated dependencies: r-spatstat-utils@3.2-0 r-spatstat-geom@3.6-1 r-sp@2.2-0 r-sf@1.0-23 r-raster@3.6-32 r-rann@2.6.2 r-partitions@1.10-9 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/apwheele/ptools
Licenses: Expat
Build system: r
Synopsis: Tools for Poisson Data
Description:

This package provides functions used for analyzing count data, mostly crime counts. Includes checking difference in two Poisson counts (e-test), checking the fit for a Poisson distribution, small sample tests for counts in bins, Weighted Displacement Difference test (Wheeler and Ratcliffe, 2018) <doi:10.1186/s40163-018-0085-5>, to evaluate crime changes over time in treated/control areas. Additionally includes functions for aggregating spatial data and spatial feature engineering.

r-psychmeta 2.7.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-progress@1.2.3 r-metafor@4.8-0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-curl@7.0.0 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=psychmeta
Licenses: GPL 3+
Build system: r
Synopsis: Psychometric Meta-Analysis Toolkit
Description:

This package provides tools for computing bare-bones and psychometric meta-analyses and for generating psychometric data for use in meta-analysis simulations. Supports bare-bones, individual-correction, and artifact-distribution methods for meta-analyzing correlations and d values. Includes tools for converting effect sizes, computing sporadic artifact corrections, reshaping meta-analytic databases, computing multivariate corrections for range variation, and more. Bugs can be reported to <https://github.com/psychmeta/psychmeta/issues> or <issues@psychmeta.com>.

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Total results: 68655