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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-phase1prmd 1.0.2
Dependencies: jags@4.3.1
Propagated dependencies: r-rjags@4-17 r-reshape2@1.4.5 r-rcolorbrewer@1.1-3 r-plyr@1.8.9 r-mass@7.3-65 r-knitr@1.50 r-kableextra@1.4.0 r-gridextra@2.3 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-coda@0.19-4.1 r-arrayhelpers@1.1-0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=phase1PRMD
Licenses: GPL 2+
Build system: r
Synopsis: Personalized Repeated Measurement Design for Phase I Clinical Trials
Description:

This package implements Bayesian phase I repeated measurement design that accounts for multidimensional toxicity endpoints and longitudinal efficacy measure from multiple treatment cycles. The package provides flags to fit a variety of model-based phase I design, including 1 stage models with or without individualized dose modification, 3-stage models with or without individualized dose modification, etc. Functions are provided to recommend dosage selection based on the data collected in the available patient cohorts and to simulate trial characteristics given design parameters. Yin, Jun, et al. (2017) <doi:10.1002/sim.7134>.

r-pspower 0.1.1
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PSpower
Licenses: Expat
Build system: r
Synopsis: Sample Size Calculation for Propensity Score Analysis
Description:

Sample size calculations in causal inference with observational data are increasingly desired. This package is a tool to calculate sample size under prespecified power with minimal summary quantities needed.

r-podbay 1.4.3
Propagated dependencies: r-rcpp@1.1.0 r-ggplot2@4.0.1 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=PoDBAY
Licenses: GPL 3
Build system: r
Synopsis: Vaccine Efficacy Estimation Package
Description:

Set of functions that implement the PoDBAY method, described in the publication A method to estimate probability of disease and vaccine efficacy from clinical trial immunogenicity data by Julie Dudasova, Regina Laube, Chandni Valiathan, Matthew C. Wiener, Ferdous Gheyas, Pavel Fiser, Justina Ivanauskaite, Frank Liu and Jeffrey R. Sachs (NPJ Vaccines, 2021), <doi:10.1038/s41541-021-00377-6>.

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-point 1.4
Propagated dependencies: r-rarpack@0.11-0 r-matrix@1.7-4 r-compquadform@1.4.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=POINT
Licenses: GPL 2
Build system: r
Synopsis: Protein Structure Guided Local Test
Description:

This package provides an implementation of a rare variant association test that utilizes protein tertiary structure to increase signal and to identify likely causal variants. Performs structure-guided collapsing, which leads to local tests that borrow information from neighboring variants on a protein and that provide association information on a variant-specific level. For details of the implemented method see West, R. M., Lu, W., Rotroff, D. M., Kuenemann, M., Chang, S-M., Wagner M. J., Buse, J. B., Motsinger-Reif, A., Fourches, D., and Tzeng, J-Y. (2019) <doi:10.1371/journal.pcbi.1006722>.

r-pumilior 1.3.1
Propagated dependencies: r-xml@3.99-0.20 r-rcurl@1.98-1.17
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: http://ljvillanueva.github.io/pumilioR/
Licenses: GPL 3
Build system: r
Synopsis: Pumilio in R
Description:

R package to query and get data out of a Pumilio sound archive system (http://ljvillanueva.github.io/pumilio/).

r-pkgcond 0.1.1
Propagated dependencies: r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/RDocTaskForce/pkgcond
Licenses: GPL 2
Build system: r
Synopsis: Classed Error and Warning Conditions
Description:

This provides utilities for creating classed error and warning conditions based on where the error originated.

r-plugdensity 0.8-5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: http://curves-etc.r-forge.r-project.org/
Licenses: GPL 2+
Build system: r
Synopsis: Plug-in Kernel Density Estimation
Description:

Kernel density estimation with global bandwidth selection via "plug-in".

r-pexm 1.1.3
Propagated dependencies: r-rjags@4-17 r-msm@1.8.2 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/vdinizm/pexm
Licenses: GPL 3
Build system: r
Synopsis: Loading a JAGS Module for the Piecewise Exponential Distribution
Description:

Load the Just Another Gibbs Sampling (JAGS) module pexm'. The module provides the tools to work with the Piecewise Exponential (PE) distribution in a Bayesian model with the corresponding Markov Chain Monte Carlo algorithm (Gibbs Sampling) implemented via JAGS. Details about the module implementation can be found in Mayrink et al. (2021) <doi:10.18637/jss.v100.i08>.

r-psvd 1.1-0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=psvd
Licenses: GPL 2+
Build system: r
Synopsis: Eigendecomposition, Singular-Values and the Power Method
Description:

For a data matrix with m rows and n columns (m>=n), the power method is used to compute, simultaneously, the eigendecomposition of a square symmetric matrix. This result is used to obtain the singular value decomposition (SVD) and the principal component analysis (PCA) results. Compared to the classical SVD method, the first r singular values can be computed.

r-pointdensityp 0.3.5
Propagated dependencies: r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pointdensityP
Licenses: Expat
Build system: r
Synopsis: Point Density for Geospatial Data
Description:

The function pointdensity returns a density count and the temporal average for every point in the original list. The dataframe returned includes four columns: lat, lon, count, and date_avg. The "lat" column is the original latitude data; the "lon" column is the original longitude data; the "count" is the density count of the number of points within a radius of radius*grid_size (the neighborhood); and the date_avg column includes the average date of each point in the neighborhood.

r-pzfx 0.3.1
Propagated dependencies: r-xml2@1.5.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/Yue-Jiang/pzfx
Licenses: Expat
Build system: r
Synopsis: Read and Write 'GraphPad Prism' Files
Description:

Read and write GraphPad Prism .pzfx files in R.

r-predint 2.3.0
Propagated dependencies: r-mass@7.3-65 r-lme4@1.1-37 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/MaxMenssen/predint
Licenses: GPL 2+
Build system: r
Synopsis: Prediction Intervals
Description:

An implementation of prediction intervals for overdispersed count data, for overdispersed binomial data and for linear random effects models.

r-palmtree 0.9-1
Propagated dependencies: r-partykit@1.2-24 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=palmtree
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Partially Additive (Generalized) Linear Model Trees
Description:

This is an implementation of model-based trees with global model parameters (PALM trees). The PALM tree algorithm is an extension to the MOB algorithm (implemented in the partykit package), where some parameters are fixed across all groups. Details about the method can be found in Seibold, Hothorn, Zeileis (2016) <arXiv:1612.07498>. The package offers coef(), logLik(), plot(), and predict() functions for PALM trees.

r-pesel 0.7.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/psobczyk/pesel
Licenses: GPL 3
Build system: r
Synopsis: Automatic Estimation of Number of Principal Components in PCA
Description:

Automatic estimation of number of principal components in PCA with PEnalized SEmi-integrated Likelihood (PESEL). See Piotr Sobczyk, Malgorzata Bogdan, Julie Josse "Bayesian dimensionality reduction with PCA using penalized semi-integrated likelihood" (2017) <doi:10.1080/10618600.2017.1340302>.

r-plackettluce 0.4.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://hturner.github.io/PlackettLuce/
Licenses: GPL 3
Build system: r
Synopsis: Plackett-Luce Models for Rankings
Description:

This package provides functions to prepare rankings data and fit the Plackett-Luce model jointly attributed to Plackett (1975) <doi:10.2307/2346567> and Luce (1959, ISBN:0486441369). The standard Plackett-Luce model is generalized to accommodate ties of any order in the ranking. Partial rankings, in which only a subset of items are ranked in each ranking, are also accommodated in the implementation. Disconnected/weakly connected networks implied by the rankings may be handled by adding pseudo-rankings with a hypothetical item. Optionally, a multivariate normal prior may be set on the log-worth parameters and ranker reliabilities may be incorporated as proposed by Raman and Joachims (2014) <doi:10.1145/2623330.2623654>. Maximum a posteriori estimation is used when priors are set. Methods are provided to estimate standard errors or quasi-standard errors for inference as well as to fit Plackett-Luce trees. See the package website or vignette for further details.

r-protoshiny 0.1.1
Propagated dependencies: r-shinythemes@1.2.0 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-rare@0.1.2 r-protoclust@1.6.4 r-dynamictreecut@1.63-1 r-dt@0.34.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=protoshiny
Licenses: GPL 3
Build system: r
Synopsis: Interactive Dendrograms for Visualizing Hierarchical Clusters with Prototypes
Description:

Shiny app to interactively visualize hierarchical clustering with prototypes. For details on hierarchical clustering with prototypes, see Bien and Tibshirani (2011) <doi:10.1198/jasa.2011.tm10183>. This package currently launches the application.

r-phenorm 0.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/celehs/PheNorm
Licenses: GPL 3
Build system: r
Synopsis: Unsupervised Gold-Standard Label Free Phenotyping Algorithm for EHR Data
Description:

The algorithm combines the most predictive variable, such as count of the main International Classification of Diseases (ICD) codes, and other Electronic Health Record (EHR) features (e.g. health utilization and processed clinical note data), to obtain a score for accurate risk prediction and disease classification. In particular, it normalizes the surrogate to resemble gaussian mixture and leverages the remaining features through random corruption denoising. Background and details about the method can be found at Yu et al. (2018) <doi:10.1093/jamia/ocx111>.

r-psidr 2.3
Propagated dependencies: r-sascii@1.0.2 r-rcurl@1.98-1.17 r-openxlsx@4.2.8.1 r-futile-logger@1.4.3 r-foreign@0.8-90 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/floswald/psidR
Licenses: GPL 3
Build system: r
Synopsis: Build Panel Data Sets from PSID Raw Data
Description:

Makes it easy to build panel data in wide format from Panel Survey of Income Dynamics (PSID) delivered raw data. Downloads data directly from the PSID server using the SAScii package. psidR takes care of merging data from each wave onto a cross-period index file, so that individuals can be followed over time. The user must specify which years they are interested in, and the PSID variable names (e.g. ER21003) for each year (they differ in each year). The package offers helper functions to retrieve variable names from different waves. There are different panel data designs and sample subsetting criteria implemented ("SRC", "SEO", "immigrant" and "latino" samples). More information about the PSID can be obtained at <https://simba.isr.umich.edu/data/data.aspx>.

r-pyinit 1.1.5
Propagated dependencies: r-robustbase@0.99-6
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/dakep/pyinit
Licenses: GPL 2+
Build system: r
Synopsis: Pena-Yohai Initial Estimator for Robust S-Regression
Description:

Deterministic Pena-Yohai initial estimator for robust S estimators of regression. The procedure is described in detail in Pena, D., & Yohai, V. (1999) <doi:10.2307/2670164>.

r-predictorselect 0.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PredictorSelect
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Out-of-Sample Predictability in Predictive Regressions with Many Predictor Candidates
Description:

Consider a linear predictive regression setting with a potentially large set of candidate predictors. This work is concerned with detecting the presence of out of sample predictability based on out of sample mean squared error comparisons given in Gonzalo and Pitarakis (2023) <doi:10.1016/j.ijforecast.2023.10.005>.

r-pump 1.0.4
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-readr@2.1.6 r-randomizr@1.0.0 r-purrr@1.2.0 r-mvtnorm@1.3-3 r-magrittr@2.0.4 r-lme4@1.1-37 r-glue@1.8.0 r-ggthemes@5.1.0 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-future@1.68.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/MDRCNY/PUMP
Licenses: GPL 3
Build system: r
Synopsis: Power Under Multiplicity Project
Description:

Estimates power, minimum detectable effect size (MDES) and sample size requirements. The context is multilevel randomized experiments with multiple outcomes. The estimation takes into account the use of multiple testing procedures. Development of this package was supported by a grant from the Institute of Education Sciences (R305D170030). For a full package description, including a detailed technical appendix, see <doi:10.18637/jss.v108.i06>.

r-primeplus 1.0.16
Propagated dependencies: r-survival@3.8-3 r-msm@1.8.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PRIMEplus
Licenses: GPL 2
Build system: r
Synopsis: Study Design for Immunotherapy Clinical Trials
Description:

Perform sample size, power calculation and subsequent analysis for Immuno-oncology (IO) trials composed of responders and non-responders.

r-prop-comb-rr 1.2
Propagated dependencies: r-rootsolve@1.8.2.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=prop.comb.RR
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Analyzing Combination of Proportions and Relative Risk
Description:

Carrying out inferences about any linear combination of proportions and the ratio of two proportions.

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Total results: 68658