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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-meantables 0.1.2
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=meantables
Licenses: Expat
Build system: r
Synopsis: Make Quick Descriptive Tables for Continuous Variables
Description:

Quickly make tables of descriptive statistics (i.e., counts, means, confidence intervals) for continuous variables. This package is designed to work in a Tidyverse pipeline, and consideration has been given to get results from R to Microsoft Word ® with minimal pain.

r-myclim 1.5.1
Propagated dependencies: r-zoo@1.8-14 r-vroom@1.6.6 r-viridis@0.6.5 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-purrr@1.2.0 r-progress@1.2.3 r-plotly@4.11.0 r-lubridate@1.9.4 r-ggplot2@4.0.1 r-ggforce@0.5.0 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: http://labgis.ibot.cas.cz/myclim/index.html
Licenses: GPL 2+
Build system: r
Synopsis: Microclimatic Data Processing
Description:

Handling the microclimatic data in R. The myClim workflow begins at the reading data primary from microclimatic dataloggers, but can be also reading of meteorological station data from files. Cleaning time step, time zone settings and metadata collecting is the next step of the work flow. With myClim tools one can crop, join, downscale, and convert microclimatic data formats, sort them into localities, request descriptive characteristics and compute microclimatic variables. Handy plotting functions are provided with smart defaults.

r-mediak 1.0
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MediaK
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Calculate MeDiA_K Distance
Description:

Calculates MeDiA_K (means Mean Distance Association by K-nearest neighbor) in order to detect nonlinear associations.

r-maxlike 0.1-12
Propagated dependencies: r-raster@3.6-32
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=maxlike
Licenses: GPL 3+
Build system: r
Synopsis: Model Species Distributions by Estimating the Probability of Occurrence Using Presence-Only Data
Description:

This package provides a likelihood-based approach to modeling species distributions using presence-only data. In contrast to the popular software program MAXENT, this approach yields estimates of the probability of occurrence, which is a natural descriptor of a species distribution.

r-mxsem 0.1.0
Propagated dependencies: r-rcpp@1.1.0 r-openmx@2.22.10 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://jhorzek.github.io/mxsem/
Licenses: GPL 3+
Build system: r
Synopsis: Specify 'OpenMx' Models with a 'lavaan'-Style Syntax
Description:

This package provides a lavaan'-like syntax for OpenMx models. The syntax supports definition variables, bounds, and parameter transformations. This allows for latent growth curve models with person-specific measurement occasions, moderated nonlinear factor analysis and much more.

r-minimalistgodb 1.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=minimalistGODB
Licenses: GPL 2+
Build system: r
Synopsis: Build a Minimalist Gene Ontology (GO) Database (GODB)
Description:

Normally building a GODB is fairly complicated, involving downloading multiple database files and using these to build e.g. a mySQL database. Accessing this database is also complicated, involving an intimate knowledge of the database in order to construct reliable queries. Here we have a more modest goal, generating GOGOA3, which is a stripped down version of the GODB that was originally restricted to human genes as designated by the HUGO Gene Nomenclature Committee (HGNC) (see <https://geneontology.org/>). I have now added about two dozen additional species, namely all species represented on the Gene Ontology download page <https://current.geneontology.org/products/pages/downloads.html>. This covers most of the model organisms that are commonly used in bio-medical and basic research (assuming that anyone still has a grant to do such research). This can be built in a matter of seconds from 2 easily downloaded files (see <https://current.geneontology.org/products/pages/downloads.html> and <https://geneontology.org/docs/download-ontology/>), and it can be queried by e.g. w<-which(GOGOA3[,"HGNC"] %in% hgncList) where GOGOA3 is a matrix representing the minimalist GODB and hgncList is a list of gene identifiers. This database will be used in my upcoming package GoMiner which is based on my previous publication (see Zeeberg, B.R., Feng, W., Wang, G. et al. (2003)<doi:10.1186/gb-2003-4-4-r28>). Relevant .RData files are available from GitHub (<https://github.com/barryzee/GO/tree/main/databases>).

r-miesmuschel 0.0.4-3
Propagated dependencies: r-r6@2.6.1 r-paradox@1.0.1 r-mlr3misc@0.19.0 r-matrixstats@1.5.0 r-lgr@0.5.0 r-data-table@1.17.8 r-checkmate@2.3.3 r-bbotk@1.8.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/mlr-org/miesmuschel
Licenses: Expat
Build system: r
Synopsis: Mixed Integer Evolution Strategies
Description:

Evolutionary black box optimization algorithms building on the bbotk package. miesmuschel offers both ready-to-use optimization algorithms, as well as their fundamental building blocks that can be used to manually construct specialized optimization loops. The Mixed Integer Evolution Strategies as described by Li et al. (2013) <doi:10.1162/EVCO_a_00059> can be implemented, as well as the multi-objective optimization algorithms NSGA-II by Deb, Pratap, Agarwal, and Meyarivan (2002) <doi:10.1109/4235.996017>.

r-madantext 0.1.0
Propagated dependencies: r-xlsx@0.6.5 r-udpipe@0.8.16 r-topicmodels@0.2-17 r-tm@0.7-16 r-tidytext@0.4.3 r-tidyr@1.3.1 r-textminer@3.0.6 r-stringr@1.6.0 r-stringi@1.8.7 r-stopwords@2.3 r-shinythemes@1.2.0 r-shiny@1.11.1 r-persianstemmer@1.0 r-lattice@0.22-7 r-hwordcloud@0.1.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MadanText
Licenses: GPL 3
Build system: r
Synopsis: Persian Text Mining Tool for Frequency Analysis, Statistical Analysis, and Word Clouds
Description:

This is an open-source software designed specifically for text mining in the Persian language. It allows users to examine word frequencies, download data for analysis, and generate word clouds. This tool is particularly useful for researchers and analysts working with Persian language data. This package mainly makes use of the PersianStemmer (Safshekan, R., et al. (2019). <https://CRAN.R-project.org/package=PersianStemmer>), udpipe (Wijffels, J., et al. (2023). <https://CRAN.R-project.org/package=udpipe>), and shiny (Chang, W., et al. (2023). <https://CRAN.R-project.org/package=shiny>) packages.

r-mapcan 0.0.1
Propagated dependencies: r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mapcan
Licenses: Expat
Build system: r
Synopsis: Tools for Plotting Canadian Choropleth Maps and Choropleth Alternatives
Description:

This package provides a variety of functions that make it easy to plot standard choropleth maps as well as choropleth alternatives in ggplot2'.

r-meifly 0.3.1
Propagated dependencies: r-plyr@1.8.9 r-mass@7.3-65 r-leaps@3.2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/hadley/meifly
Licenses: Expat
Build system: r
Synopsis: Interactive Model Exploration using 'GGobi'
Description:

Exploratory model analysis with <http://ggobi.org>. Fit and graphical explore ensembles of linear models.

r-macbehaviour 1.2.8
Propagated dependencies: r-rjson@0.2.23 r-openxlsx@4.2.8.1 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MacBehaviour
Licenses: LGPL 3
Build system: r
Synopsis: Behavioural Studies of Large Language Models
Description:

Efficient way to design and conduct psychological experiments for testing the performance of large language models. It simplifies the process of setting up experiments and data collection via language modelsâ API, facilitating a smooth workflow for researchers in the field of machine behaviour.

r-metropolis 0.1.8
Propagated dependencies: r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=metropolis
Licenses: GPL 2+
Build system: r
Synopsis: The Metropolis Algorithm
Description:

Learning and using the Metropolis algorithm for Bayesian fitting of a generalized linear model. The package vignette includes examples of hand-coding a logistic model using several variants of the Metropolis algorithm. The package also contains R functions for simulating posterior distributions of Bayesian generalized linear model parameters using guided, adaptive, guided-adaptive and random walk Metropolis algorithms. The random walk Metropolis algorithm was originally described in Metropolis et al (1953); <doi:10.1063/1.1699114>.

r-mlts 2.0.1
Propagated dependencies: r-stanheaders@2.32.10 r-shape@1.4.6.1 r-rstantools@2.5.0 r-rstan@2.32.7 r-rmarkdown@2.30 r-rlang@1.1.6 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-pdftools@3.6.0 r-mvtnorm@1.3-3 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-diagram@1.6.5 r-cowplot@1.2.0 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/munchfab/mlts
Licenses: GPL 3+
Build system: r
Synopsis: Multilevel Latent Time Series Models with 'R' and 'Stan'
Description:

Fit multilevel manifest or latent time-series models, including popular Dynamic Structural Equation Models (DSEM). The models can be set up and modified with user-friendly functions and are fit to the data using Stan for Bayesian inference. Path models and formulas for user-defined models can be easily created with functions using knitr'. Asparouhov, Hamaker, & Muthen (2018) <doi:10.1080/10705511.2017.1406803>.

r-modmarg 0.9.6
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/anniejw6/modmarg
Licenses: GPL 3
Build system: r
Synopsis: Calculating Marginal Effects and Levels with Errors
Description:

Calculate predicted levels and marginal effects, using the delta method to calculate standard errors. This is an R-based version of the margins command from Stata.

r-metadigitise 1.0.2
Propagated dependencies: r-purrr@1.2.0 r-magick@2.9.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=metaDigitise
Licenses: GPL 2+
Build system: r
Synopsis: Extract and Summarise Data from Published Figures
Description:

High-throughput, flexible and reproducible extraction of data from figures in primary research papers. metaDigitise() can extract data and / or automatically calculate summary statistics for users from box plots, bar plots (e.g., mean and errors), scatter plots and histograms.

r-multeq 2.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MultEq
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Multiple Equivalence Tests and Simultaneous Confidence Intervals
Description:

Equivalence tests and related confidence intervals for the comparison of two treatments, simultaneously for one or many normally distributed, primary response variables (endpoints). The step-up procedure of Quan et al. (2001) is both applied for differences and extended to ratios of means. A related single-step procedure is also available.

r-mstclustering 1.0.0.0
Propagated dependencies: r-reshape2@1.4.5 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mstclustering
Licenses: AGPL 3+
Build system: r
Synopsis: "MST-Based Clustering"
Description:

This package implements a minimum-spanning-tree-based heuristic for k-means clustering using a union-find disjoint set and the algorithm in Kruskal (1956) <doi:10.1090/S0002-9939-1956-0078686-7>.

r-mlsp 0.1.0
Propagated dependencies: r-randomforest@4.7-1.2 r-pls@2.8-5 r-gsignal@0.3-7 r-glmnet@4.1-10 r-cubist@0.5.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MLSP
Licenses: GPL 2
Build system: r
Synopsis: Machine Learning Models for Soil Properties
Description:

This package creates a spectroscopy guideline with a highly accurate prediction model for soil properties using machine learning or deep learning algorithms such as LASSO, Random Forest, Cubist, etc., and decide which algorithm generates the best model for different soil types.

r-metricgraph 1.5.0
Propagated dependencies: r-zoo@1.8-14 r-tidyr@1.3.1 r-sp@2.2-0 r-sf@1.0-23 r-rspde@2.5.2 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-rann@2.6.2 r-r6@2.6.1 r-matrix@1.7-4 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-igraph@2.2.1 r-ggplot2@4.0.1 r-ggnewscale@0.5.2 r-dplyr@1.1.4 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://davidbolin.github.io/MetricGraph/
Licenses: GPL 2+
Build system: r
Synopsis: Random Fields on Metric Graphs
Description:

Facilitates creation and manipulation of metric graphs, such as street or river networks. Further facilitates operations and visualizations of data on metric graphs, and the creation of a large class of random fields and stochastic partial differential equations on such spaces. These random fields can be used for simulation, prediction and inference. In particular, linear mixed effects models including random field components can be fitted to data based on computationally efficient sparse matrix representations. Interfaces to the R packages INLA and inlabru are also provided, which facilitate working with Bayesian statistical models on metric graphs. The main references for the methods are Bolin, Simas and Wallin (2024) <doi:10.3150/23-BEJ1647>, Bolin, Kovacs, Kumar and Simas (2023) <doi:10.1090/mcom/3929> and Bolin, Simas and Wallin (2023) <doi:10.48550/arXiv.2304.03190> and <doi:10.48550/arXiv.2304.10372>.

r-msae 0.1.5
Propagated dependencies: r-magic@1.6-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=msae
Licenses: GPL 2
Build system: r
Synopsis: Multivariate Fay Herriot Models for Small Area Estimation
Description:

This package implements multivariate Fay-Herriot models for small area estimation. It uses empirical best linear unbiased prediction (EBLUP) estimator. Multivariate models consider the correlation of several target variables and borrow strength from auxiliary variables to improve the effectiveness of a domain sample size. Models which accommodated by this package are univariate model with several target variables (model 0), multivariate model (model 1), autoregressive multivariate model (model 2), and heteroscedastic autoregressive multivariate model (model 3). Functions provide EBLUP estimators and mean squared error (MSE) estimator for each model. These models were developed by Roberto Benavent and Domingo Morales (2015) <doi:10.1016/j.csda.2015.07.013>.

r-msgarch 2.51
Propagated dependencies: r-zoo@1.8-14 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-numderiv@2016.8-1.1 r-mass@7.3-65 r-fanplot@4.0.1 r-expm@1.0-0 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/keblu/MSGARCH
Licenses: GPL 2+
Build system: r
Synopsis: Markov-Switching GARCH Models
Description:

Fit (by Maximum Likelihood or MCMC/Bayesian), simulate, and forecast various Markov-Switching GARCH models as described in Ardia et al. (2019) <doi:10.18637/jss.v091.i04>.

r-morse 3.3.5
Dependencies: jags@4.3.1
Propagated dependencies: r-zoo@1.8-14 r-tidyr@1.3.1 r-tibble@3.3.0 r-rjags@4-17 r-reshape2@1.4.5 r-magrittr@2.0.4 r-gridextra@2.3 r-ggplot2@4.0.1 r-epitools@0.5-10.1 r-dplyr@1.1.4 r-desolve@1.40 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://gitlab.in2p3.fr/mosaic-software/morse
Licenses: Expat
Build system: r
Synopsis: Modelling Reproduction and Survival Data in Ecotoxicology
Description:

Advanced methods for a valuable quantitative environmental risk assessment using Bayesian inference of survival and reproduction Data. Among others, it facilitates Bayesian inference of the general unified threshold model of survival (GUTS). See our companion paper Baudrot and Charles (2021) <doi:10.21105/joss.03200>, as well as complementary details in Baudrot et al. (2018) <doi:10.1021/acs.est.7b05464> and Delignette-Muller et al. (2017) <doi:10.1021/acs.est.6b05326>.

r-miscic 0.1.0
Propagated dependencies: r-nnls@1.6
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=miscIC
Licenses: GPL 2+
Build system: r
Synopsis: Misclassified Interval Censored Time-to-Event Data
Description:

Estimation of the survivor function for interval censored time-to-event data subject to misclassification using nonparametric maximum likelihood estimation, implementing the methods of Titman (2017) <doi:10.1007/s11222-016-9705-7>. Misclassification probabilities can either be specified as fixed or estimated. Models with time dependent misclassification may also be fitted.

r-modelimpact 1.0.0
Propagated dependencies: r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/PeerChristensen/modelimpact
Licenses: Expat
Build system: r
Synopsis: Functions to Assess the Business Impact of Churn Prediction Models
Description:

Calculate the financial impact of using a churn model in terms of cost, revenue, profit and return on investment.

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Total results: 69112