R-universe search: conflicted

r-lib

conflicted:An Alternative Conflict Resolution Strategy

R's default conflict management system gives the most recently loaded package precedence. This can make it hard to detect conflicts, particularly when they arise because a package update creates ambiguity that did not previously exist. 'conflicted' takes a different approach, making every conflict an error and forcing you to choose which function to use.

Maintained by Hadley Wickham. Last updated 1 years ago.

conflicts

66.0 match 250 stars 14.09 score 6.0k scripts 147 dependents

svmiller

peacesciencer:Tools and Data for Quantitative Peace Science Research

These are useful tools and data sets for the study of quantitative peace science. The goal for this package is to include tools and data sets for doing original research that mimics well what a user would have to previously get from a software package that may not be well-sourced or well-supported. Those software bundles were useful the extent to which they encourage replications of long-standing analyses by starting the data-generating process from scratch. However, a lot of the functionality can be done relatively quickly and more transparently in the R programming language.

Maintained by Steve Miller. Last updated 19 days ago.

eugene peace-science

23.8 match 29 stars 5.49 score 211 scripts

nowosad

spData:Datasets for Spatial Analysis

Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis. It includes R data of class sf (defined by the package 'sf'), Spatial ('sp'), and nb ('spdep'). Unlike other spatial data packages such as 'rnaturalearth' and 'maps', it also contains data stored in a range of file formats including GeoJSON and GeoPackage, but from version 2.3.4, no longer ESRI Shapefile - use GeoPackage instead. Some of the datasets are designed to illustrate specific analysis techniques. cycle_hire() and cycle_hire_osm(), for example, is designed to illustrate point pattern analysis techniques.

Maintained by Jakub Nowosad. Last updated 3 months ago.

datasets raster sf sp spatial spdep

8.8 match 82 stars 13.23 score 3.4k scripts 116 dependents

confoobio

GMSE:Generalised Management Strategy Evaluation Simulator

Integrates game theory and ecological theory to construct social-ecological models that simulate the management of populations and stakeholder actions. These models build off of a previously developed management strategy evaluation (MSE) framework to simulate all aspects of management: population dynamics, manager observation of populations, manager decision making, and stakeholder responses to management decisions. The newly developed generalised management strategy evaluation (GMSE) framework uses genetic algorithms to mimic the decision-making process of managers and stakeholders under conditions of change, uncertainty, and conflict. Simulations can be run using gmse(), gmse_apply(), and gmse_gui() functions.

Maintained by A. Bradley Duthie. Last updated 3 years ago.

adaptive-management agricultural-modelling conflict conflict-resolution conservation ecological-modelling ecological-models ecology food-security game-theory genetic-algorithm genetic-algorithms management-decisions management-strategy-evaluation population-model simulation wildlife-management

19.0 match 10 stars 5.43 score 178 scripts

agusnieto77

ACEP:Análisis Computacional de Eventos de Protesta

La librería 'ACEP' contiene funciones específicas para desarrollar análisis computacional de eventos de protesta. Asimismo, contiene bases de datos con colecciones de notas sobre protestas y diccionarios de palabras conflictivas. La colección de diccionarios reune diccionarios de diferentes orígenes. The 'ACEP' library contains specific functions to perform computational analysis of protest events. It also contains a database with collections of notes on protests and dictionaries of conflicting words. Collection of dictionaries that brings together dictionaries from different sources.

Maintained by Agustín Nieto. Last updated 1 years ago.

computer-aided-detection conflict-analysis conflict-detection dictionaries nlp-keywords-extraction protest-events text-mining visualization

15.5 match 10 stars 5.48 score 9 scripts

mapme-initiative

mapme.biodiversity:Efficient Monitoring of Global Biodiversity Portfolios

Biodiversity areas, especially primary forest, serve a multitude of functions for local economy, regional functionality of the ecosystems as well as the global health of our planet. Recently, adverse changes in human land use practices and climatic responses to increased greenhouse gas emissions, put these biodiversity areas under a variety of different threats. The present package helps to analyse a number of biodiversity indicators based on freely available geographical datasets. It supports computational efficient routines that allow the analysis of potentially global biodiversity portfolios. The primary use case of the package is to support evidence based reporting of an organization's effort to protect biodiversity areas under threat and to identify regions were intervention is most duly needed.

Maintained by Darius A. Görgen. Last updated 4 days ago.

environment eo gis mapme spatial sustainability

8.7 match 35 stars 9.24 score 287 scripts

tidymodels

tidymodels:Easily Install and Load the 'Tidymodels' Packages

The tidy modeling "verse" is a collection of packages for modeling and statistical analysis that share the underlying design philosophy, grammar, and data structures of the tidyverse.

Maintained by Max Kuhn. Last updated 1 months ago.

3.8 match 783 stars 16.52 score 66k scripts 15 dependents

kjhealy

gssrdoc:Document General Social Survey Variable

The General Social Survey (GSS) is a long-running, mostly annual survey of US households. It is administered by the National Opinion Research Center (NORC). This package contains the a tibble with information on the survey variables, together with every variable documented as an R help page. For more information on the GSS see \url{http://gss.norc.org}.

Maintained by Kieran Healy. Last updated 12 months ago.

24.8 match 2.28 score 38 scripts

svmiller

stevedata:Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics

This is a collection of various kinds of data with broad uses for teaching. My students, and academics like me who teach the same topics I teach, should find this useful if their teaching workflow is also built around the R programming language. The applications are multiple but mostly cluster on topics of statistical methodology, international relations, and political economy.

Maintained by Steve Miller. Last updated 19 days ago.

7.2 match 8 stars 5.97 score 178 scripts

tidyverse

tidyverse:Easily Install and Load the 'Tidyverse'

The 'tidyverse' is a set of packages that work in harmony because they share common data representations and 'API' design. This package is designed to make it easy to install and load multiple 'tidyverse' packages in a single step. Learn more about the 'tidyverse' at <https://www.tidyverse.org>.

Maintained by Hadley Wickham. Last updated 5 months ago.

data-science tidyverse

2.0 match 1.7k stars 20.23 score 664k scripts 125 dependents

jean-baptiste-camps

stemmatology:Stemmatological Analysis of Textual Traditions

Explore and analyse the genealogy of textual or musical traditions, from their variants, with various stemmatological methods, mainly the disagreement-based algorithms suggested by Camps and Cafiero (2015) <doi:10.1484/M.LECTIO-EB.5.102565>.

Maintained by Jean-Baptiste Camps. Last updated 6 years ago.

philology stemma stemmatology

7.4 match 15 stars 5.29 score 26 scripts

conjugateprior

events:Store and Manipulate Event Data

The events package manipulates, aggregates and otherwise messes with event data from 'KEDS' and 'TABARI' software and those with similar output. It also bundles several classic event data sets. Most functions are superseded by those in 'dplyr' and 'tidyr'.

Maintained by William Lowe. Last updated 3 years ago.

10.7 match 3 stars 3.52 score 22 scripts

raphaelhartmann

ream:Density, Distribution, and Sampling Functions for Evidence Accumulation Models

Calculate the probability density functions (PDFs) for two threshold evidence accumulation models (EAMs). These are defined using the following Stochastic Differential Equation (SDE), dx(t) = v(x(t),t)*dt+D(x(t),t)*dW, where x(t) is the accumulated evidence at time t, v(x(t),t) is the drift rate, D(x(t),t) is the noise scale, and W is the standard Wiener process. The boundary conditions of this process are the upper and lower decision thresholds, represented by b_u(t) and b_l(t), respectively. Upper threshold b_u(t) > 0, while lower threshold b_l(t) < 0. The initial condition of this process x(0) = z where b_l(t) < z < b_u(t). We represent this as the relative start point w = z/(b_u(0)-b_l(0)), defined as a ratio of the initial threshold location. This package generates the PDF using the same approach as the 'python' package it is based upon, 'PyBEAM' by Murrow and Holmes (2023) <doi:10.3758/s13428-023-02162-w>. First, it converts the SDE model into the forwards Fokker-Planck equation dp(x,t)/dt = d(v(x,t)*p(x,t))/dt-0.5*d^2(D(x,t)^2*p(x,t))/dx^2, then solves this equation using the Crank-Nicolson method to determine p(x,t). Finally, it calculates the flux at the decision thresholds, f_i(t) = 0.5*d(D(x,t)^2*p(x,t))/dx evaluated at x = b_i(t), where i is the relevant decision threshold, either upper (i = u) or lower (i = l). The flux at each thresholds f_i(t) is the PDF for each threshold, specifically its PDF. We discuss further details of this approach in this package and 'PyBEAM' publications. Additionally, one can calculate the cumulative distribution functions of and sampling from the EAMs.

Maintained by Raphael Hartmann. Last updated 2 months ago.

cpp

7.1 match 2 stars 5.04 score 2 scripts

usa-npn

rnpn:Interface to the National 'Phenology' Network 'API'

Programmatic interface to the Web Service methods provided by the National 'Phenology' Network (<https://usanpn.org/>), which includes data on various life history events that occur at specific times.

Maintained by Jeff Switzer. Last updated 6 days ago.

data national-phenology-network phenology species web-api

4.0 match 21 stars 8.91 score 109 scripts

markheckmann

OpenRepGrid:Tools to Analyze Repertory Grid Data

Analyze repertory grids, a qualitative-quantitative data collection technique devised by George A. Kelly in the 1950s. Today, grids are used across various domains ranging from clinical psychology to marketing. The package contains functions to quantitatively analyze and visualize repertory grid data (e.g. 'Fransella', 'Bell', & 'Bannister', 2004, ISBN: 978-0-470-09080-0). The package is part of the The package is part of the <https://openrepgrid.org/> project.

Maintained by Mark Heckmann. Last updated 30 days ago.

repertory-grid repgrid

5.0 match 19 stars 6.69 score 156 scripts

r-lib

here:A Simpler Way to Find Your Files

Constructs paths to your project's files. Declare the relative path of a file within your project with 'i_am()'. Use the 'here()' function as a drop-in replacement for 'file.path()', it will always locate the files relative to your project root.

Maintained by Kirill Müller. Last updated 16 days ago.

project

1.5 match 417 stars 19.62 score 96k scripts 607 dependents

business-science

tidyquant:Tidy Quantitative Financial Analysis

Bringing business and financial analysis to the 'tidyverse'. The 'tidyquant' package provides a convenient wrapper to various 'xts', 'zoo', 'quantmod', 'TTR' and 'PerformanceAnalytics' package functions and returns the objects in the tidy 'tibble' format. The main advantage is being able to use quantitative functions with the 'tidyverse' functions including 'purrr', 'dplyr', 'tidyr', 'ggplot2', 'lubridate', etc. See the 'tidyquant' website for more information, documentation and examples.

Maintained by Matt Dancho. Last updated 2 months ago.

dplyr financial-analysis financial-data financial-statements multiple-stocks performance-analysis performanceanalytics quantmod stock stock-exchanges stock-indexes stock-lists stock-performance stock-prices stock-symbol tidyverse time-series timeseries xts

2.0 match 872 stars 13.34 score 5.2k scripts

middleton-lab

abd:The Analysis of Biological Data

The abd package contains data sets and sample code for The Analysis of Biological Data by Michael Whitlock and Dolph Schluter (2009; Roberts & Company Publishers).

Maintained by Kevin M. Middleton. Last updated 11 months ago.

4.5 match 6 stars 5.53 score 182 scripts 1 dependents

fbartos

RoBMA:Robust Bayesian Meta-Analyses

A framework for estimating ensembles of meta-analytic and meta-regression models (assuming either presence or absence of the effect, heterogeneity, publication bias, and moderators). The RoBMA framework uses Bayesian model-averaging to combine the competing meta-analytic models into a model ensemble, weights the posterior parameter distributions based on posterior model probabilities and uses Bayes factors to test for the presence or absence of the individual components (e.g., effect vs. no effect; Bartoš et al., 2022, <doi:10.1002/jrsm.1594>; Maier, Bartoš & Wagenmakers, 2022, <doi:10.1037/met0000405>). Users can define a wide range of prior distributions for + the effect size, heterogeneity, publication bias (including selection models and PET-PEESE), and moderator components. The package provides convenient functions for summary, visualizations, and fit diagnostics.

Maintained by František Bartoš. Last updated 2 months ago.

meta-analysis model-averaging publication-bias jags openblas cpp

3.3 match 9 stars 6.88 score 53 scripts

mattblackwell

DirectEffects:Estimating Controlled Direct Effects for Explaining Causal Findings

A set of functions to estimate the controlled direct effect of treatment fixing a potential mediator to a specific value. Implements the sequential g-estimation estimator described in Vansteelandt (2009) <doi:10.1097/EDE.0b013e3181b6f4c9> and Acharya, Blackwell, and Sen (2016) <doi:10.1017/S0003055416000216> and the telescope matching estimator described in Blackwell and Strezhnev (2020) <doi:10.1111/rssa.12759>.

Maintained by Matthew Blackwell. Last updated 1 months ago.

3.4 match 18 stars 6.09 score 17 scripts

bioc

SingleCellExperiment:S4 Classes for Single Cell Data

Defines a S4 class for storing data from single-cell experiments. This includes specialized methods to store and retrieve spike-in information, dimensionality reduction coordinates and size factors for each cell, along with the usual metadata for genes and libraries.

Maintained by Davide Risso. Last updated 25 days ago.

immunooncology datarepresentation dataimport infrastructure singlecell

1.5 match 13.53 score 15k scripts 285 dependents

igmmgi

DMCfun:Diffusion Model of Conflict (DMC) in Reaction Time Tasks

DMC model simulation detailed in Ulrich, R., Schroeter, H., Leuthold, H., & Birngruber, T. (2015). Automatic and controlled stimulus processing in conflict tasks: Superimposed diffusion processes and delta functions. Cognitive Psychology, 78, 148-174. Ulrich et al. (2015) <doi:10.1016/j.cogpsych.2015.02.005>. Decision processes within choice reaction-time (CRT) tasks are often modelled using evidence accumulation models (EAMs), a variation of which is the Diffusion Decision Model (DDM, for a review, see Ratcliff & McKoon, 2008). Ulrich et al. (2015) introduced a Diffusion Model for Conflict tasks (DMC). The DMC model combines common features from within standard diffusion models with the addition of superimposed controlled and automatic activation. The DMC model is used to explain distributional reaction time (and error rate) patterns in common behavioural conflict-like tasks (e.g., Flanker task, Simon task). This R-package implements the DMC model and provides functionality to fit the model to observed data. Further details are provided in the following paper: Mackenzie, I.G., & Dudschig, C. (2021). DMCfun: An R package for fitting Diffusion Model of Conflict (DMC) to reaction time and error rate data. Methods in Psychology, 100074. <doi:10.1016/j.metip.2021.100074>.

Maintained by Ian G. Mackenzie. Last updated 4 months ago.

cpp

3.8 match 17 stars 4.93 score 5 scripts

chris-dworschak

acled.api:Automated Retrieval of ACLED Conflict Event Data

Access and manage the application programming interface (API) of the Armed Conflict Location & Event Data Project (ACLED) at <https://acleddata.com/>. The package makes it easy to retrieve a user-defined sample (or all of the available data) of ACLED, enabling a seamless integration of regular data updates into the research work flow. It requires a minimal number of dependencies. See the package's README file for a note on replicability when drawing on ACLED data. When using this package, you acknowledge that you have read ACLED's terms and conditions of use, and that you agree with their attribution requirements.

Maintained by Christoph Dworschak. Last updated 6 months ago.

5.2 match 3.56 score 24 scripts

fastverse

fastverse:A Suite of High-Performance Packages for Statistics and Data Manipulation

Easy installation, loading and management, of high-performance packages for statistical computing and data manipulation in R. The core 'fastverse' consists of 4 packages: 'data.table', 'collapse', 'kit' and 'magrittr', that jointly only depend on 'Rcpp'. The 'fastverse' can be freely and permanently extended with additional packages, both globally or for individual projects. Separate package verses can also be created. Fast packages for many common tasks such as time series, dates and times, strings, spatial data, statistics, data serialization, larger-than-memory processing, and compilation of R code are listed in the README file: <https://github.com/fastverse/fastverse#suggested-extensions>.

Maintained by Sebastian Krantz. Last updated 1 months ago.

c cpp data-aggregation data-manipulation data-science data-transformation high-performance low-dependency panel-data statistical-computing time-series weights

2.0 match 266 stars 8.98 score 222 scripts

robitalec

CSEE.reproducible.workflows.workshop:Workshop for CSEE 2023 On Reproducible Workflows In R

Developing a reproducible workflow in R using functions, targets and renv.

Maintained by Alec L. Robitaille. Last updated 2 years ago.

conflicted functions projects renv reproducibility targets targets-pipeline

10.0 match 1 stars 1.70 score

mrcieu

CheckSumStats:CheckSumStats

CheckSumStats is an R package for checking the accuracy of meta- and summary-data from genome-wide association studies (GWAS) prior to their use in post-GWAS applications. For example, the package provides tools for checking that the reported effect allele and effect allele frequency columns are correct. It also checks for possible issues in the reported effect sizes that might introduce bias into downstream analyses.

Maintained by Philip Haycock. Last updated 2 years ago.

5.6 match 8 stars 3.00 score 25 scripts

robjhyndman

fpp2:Data for "Forecasting: Principles and Practice" (2nd Edition)

All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (2nd ed, 2018) by Rob J Hyndman and George Athanasopoulos <https://otexts.com/fpp2/>. All packages required to run the examples are also loaded.

Maintained by Rob Hyndman. Last updated 2 years ago.

data forecasting

1.9 match 106 stars 8.57 score 1.8k scripts 1 dependents

robjhyndman

fpp3:Data for "Forecasting: Principles and Practice" (3rd Edition)

All data sets required for the examples and exercises in the book "Forecasting: principles and practice" by Rob J Hyndman and George Athanasopoulos <https://OTexts.com/fpp3/>. All packages required to run the examples are also loaded. Additional data sets not used in the book are also included.

Maintained by Rob Hyndman. Last updated 7 months ago.

data forecasting

1.9 match 142 stars 8.54 score 2.5k scripts

appsilon

shiny.router:Basic Routing for Shiny Web Applications

It is a simple router for your Shiny apps. The router allows you to create dynamic web applications with real-time User Interface and easily share url to pages within your Shiny apps.

Maintained by Ryszard Szymański. Last updated 12 months ago.

rhinoverse routing shiny

1.8 match 258 stars 8.50 score 165 scripts

rudeboybert

fivethirtyeight:Data and Code Behind the Stories and Interactives at 'FiveThirtyEight'

Datasets and code published by the data journalism website 'FiveThirtyEight' available at <https://github.com/fivethirtyeight/data>. Note that while we received guidance from editors at 'FiveThirtyEight', this package is not officially published by 'FiveThirtyEight'.

Maintained by Albert Y. Kim. Last updated 2 years ago.

data-science datajournalism fivethirtyeight statistics

1.3 match 453 stars 10.98 score 1.7k scripts

predictiveecology

Require:Installing and Loading R Packages for Reproducible Workflows

A single key function, 'Require' that makes rerun-tolerant versions of 'install.packages' and `require` for CRAN packages, packages no longer on CRAN (i.e., archived), specific versions of packages, and GitHub packages. This approach is developed to create reproducible workflows that are flexible and fast enough to use while in development stages, while able to build snapshots once a stable package collection is found. As with other functions in a reproducible workflow, this package emphasizes functions that return the same result whether it is the first or subsequent times running the function, with subsequent times being sufficiently fast that they can be run every time without undue waiting burden on the user or developer.

Maintained by Eliot J B McIntire. Last updated 30 days ago.

1.5 match 22 stars 9.38 score 144 scripts 14 dependents

chris-prener

areal:Areal Weighted Interpolation

A pipeable, transparent implementation of areal weighted interpolation with support for interpolating multiple variables in a single function call. These tools provide a full-featured workflow for validation and estimation that fits into both modern data management (e.g. tidyverse) and spatial data (e.g. sf) frameworks.

Maintained by Christopher Prener. Last updated 3 years ago.

1.5 match 93 stars 8.88 score 106 scripts 4 dependents

sciviews

SciViews:'SciViews' - Data Processing and Visualization with the 'SciViews::R' Dialect

The 'SciViews::R' dialect provides a set of functions that streamlines data input, process, analysis and visualization especially, but not exclusively, for beginners or occasional users. It mixes base R and tidyverse, plus another set of CRAN packages for an easy and coherent use of R.

Maintained by Philippe Grosjean. Last updated 7 months ago.

sciviews

1.7 match 8 stars 7.62 score 116 scripts 1 dependents

ibot-geoecology

myClim:Microclimatic Data Processing

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.

Maintained by Vojtěch Kalčík. Last updated 29 days ago.

1.9 match 7 stars 6.97 score 30 scripts

ms609

TreeDist:Calculate and Map Distances Between Phylogenetic Trees

Implements measures of tree similarity, including information-based generalized Robinson-Foulds distances (Phylogenetic Information Distance, Clustering Information Distance, Matching Split Information Distance; Smith 2020) <doi:10.1093/bioinformatics/btaa614>; Jaccard-Robinson-Foulds distances (Bocker et al. 2013) <doi:10.1007/978-3-642-40453-5_13>, including the Nye et al. (2006) metric <doi:10.1093/bioinformatics/bti720>; the Matching Split Distance (Bogdanowicz & Giaro 2012) <doi:10.1109/TCBB.2011.48>; Maximum Agreement Subtree distances; the Kendall-Colijn (2016) distance <doi:10.1093/molbev/msw124>, and the Nearest Neighbour Interchange (NNI) distance, approximated per Li et al. (1996) <doi:10.1007/3-540-61332-3_168>. Includes tools for visualizing mappings of tree space (Smith 2022) <doi:10.1093/sysbio/syab100>, for identifying islands of trees (Silva and Wilkinson 2021) <doi:10.1093/sysbio/syab015>, for calculating the median of sets of trees, and for computing the information content of trees and splits.

Maintained by Martin R. Smith. Last updated 2 months ago.

phylogenetics tree-distance phylogenetic-trees tree-distances trees cpp

1.2 match 32 stars 10.32 score 97 scripts 5 dependents

bioc

tidyomics:Easily install and load the tidyomics ecosystem

The tidyomics ecosystem is a set of packages for ’omic data analysis that work together in harmony; they share common data representations and API design, consistent with the tidyverse ecosystem. The tidyomics package is designed to make it easy to install and load core packages from the tidyomics ecosystem with a single command.

Maintained by Stefano Mangiola. Last updated 5 months ago.

assaydomain infrastructure rnaseq differentialexpression geneexpression normalization clustering qualitycontrol sequencing transcription transcriptomics cytometry genomics tidyverse

2.0 match 67 stars 6.13 score 5 scripts

myeomans

DICEM:Directness and Intensity of Conflict Expression

A Natural Language Processing Model trained to detect directness and intensity during conflict. See <https://www.mikeyeomans.info>.

Maintained by Michael Yeomans. Last updated 8 months ago.

3.7 match 3.30 score

edwindj

daff:Diff, Patch and Merge for Data.frames

Diff, patch and merge for data frames. Document changes in data sets and use them to apply patches. Changes to data can be made visible by using render_diff(). The 'V8' package is used to wrap the 'daff.js' 'JavaScript' library which is included in the package.

Maintained by Edwin de Jonge. Last updated 1 years ago.

daff data diff

1.7 match 152 stars 6.99 score 133 scripts

bucky2177

dRiftDM:Estimating (Time-Dependent) Drift Diffusion Models

Fit and explore Drift Diffusion Models (DDMs), a common tool in psychology for describing decision processes in simple tasks. It can handle both time-independent and time-dependent DDMs. You either choose prebuilt models or create your own, and the package takes care of model predictions and parameter estimation. Model predictions are derived via the numerical solutions provided by Richter, Ulrich, and Janczyk (2023, <doi:10.1016/j.jmp.2023.102756>).

Maintained by Valentin Koob. Last updated 28 days ago.

cpp

1.8 match 6 stars 6.58 score 5 scripts

schlosslab

mikropml:User-Friendly R Package for Supervised Machine Learning Pipelines

An interface to build machine learning models for classification and regression problems. 'mikropml' implements the ML pipeline described by Topçuoğlu et al. (2020) <doi:10.1128/mBio.00434-20> with reasonable default options for data preprocessing, hyperparameter tuning, cross-validation, testing, model evaluation, and interpretation steps. See the website <https://www.schlosslab.org/mikropml/> for more information, documentation, and examples.

Maintained by Kelly Sovacool. Last updated 2 years ago.

machine-learning

1.5 match 56 stars 7.83 score 86 scripts

cran

cdfquantreg:Quantile Regression for Random Variables on the Unit Interval

Employs a two-parameter family of distributions for modelling random variables on the (0, 1) interval by applying the cumulative distribution function (cdf) of one parent distribution to the quantile function of another.

Maintained by Yiyun Shou. Last updated 2 years ago.

4.0 match 2 stars 2.90 score

adrientaudiere

MiscMetabar:Miscellaneous Functions for Metabarcoding Analysis

Facilitate the description, transformation, exploration, and reproducibility of metabarcoding analyses. 'MiscMetabar' is mainly built on top of the 'phyloseq', 'dada2' and 'targets' R packages. It helps to build reproducible and robust bioinformatics pipelines in R. 'MiscMetabar' makes ecological analysis of alpha and beta-diversity easier, more reproducible and more powerful by integrating a large number of tools. Important features are described in Taudière A. (2023) <doi:10.21105/joss.06038>.

Maintained by Adrien Taudière. Last updated 11 days ago.

sequencing microbiome metagenomics clustering classification visualization amplicon amplicon-sequencing biodiversity-informatics ecology illumina metabarcoding ngs-analysis

1.8 match 17 stars 6.44 score 23 scripts

atheriel

httpproblems:Report Errors in Web Applications with 'Problem Details' (RFC 7807)

Tools for emitting the 'Problem Details' structure defined in 'RFC' 7807 <https://tools.ietf.org/html/rfc7807> for reporting errors from 'HTTP' servers in a standard way.

Maintained by Aaron Jacobs. Last updated 4 years ago.

plumber-api rfc-7807 rfc7807

3.3 match 6 stars 3.48 score 6 scripts

dtacled

acledR:Manipulate ACLED Data

Tools working with data from ACLED (Armed Conflict Location and Event Data). Functions include simplified access to ACLED's API (<https://apidocs.acleddata.com/>), methods for keeping local versions of ACLED data up-to-date, and functions for common ACLED data transformations.

Maintained by Trey Billing. Last updated 1 months ago.

external

2.1 match 2 stars 5.43 score 6 scripts

hoxo-m

githubinstall:A Helpful Way to Install R Packages Hosted on GitHub

Provides an helpful way to install packages hosted on GitHub.

Maintained by Koji Makiyama. Last updated 7 years ago.

r-language

1.6 match 49 stars 7.29 score 177 scripts

robjhyndman

weird:Functions and Data Sets for "That's Weird: Anomaly Detection Using R" by Rob J Hyndman

All functions and data sets required for the examples in the book Hyndman (2024) "That's Weird: Anomaly Detection Using R" <https://OTexts.com/weird/>. All packages needed to run the examples are also loaded.

Maintained by Rob Hyndman. Last updated 3 months ago.

1.9 match 17 stars 5.74 score 18 scripts

bioc

metabCombiner:Method for Combining LC-MS Metabolomics Feature Measurements

This package aligns LC-HRMS metabolomics datasets acquired from biologically similar specimens analyzed under similar, but not necessarily identical, conditions. Peak-picked and simply aligned metabolomics feature tables (consisting of m/z, rt, and per-sample abundance measurements, plus optional identifiers & adduct annotations) are accepted as input. The package outputs a combined table of feature pair alignments, organized into groups of similar m/z, and ranked by a similarity score. Input tables are assumed to be acquired using similar (but not necessarily identical) analytical methods.

Maintained by Hani Habra. Last updated 5 months ago.

software massspectrometry metabolomics mass-spectrometry

1.9 match 10 stars 5.65 score 5 scripts

spsanderson

healthyverse:Easily Install and Load the 'healthyverse'

The 'healthyverse' is a set of packages that work in harmony because they share common data representations and 'API' design. This package is designed to make it easy to install and load multiple 'healthyverse' packages in a single step.

Maintained by Steven Sanderson. Last updated 6 months ago.

analytics healthcare healthcare-application installation installer meta packages

2.0 match 11 stars 5.12 score 24 scripts

bioc

MetaNeighbor:Single cell replicability analysis

MetaNeighbor allows users to quantify cell type replicability across datasets using neighbor voting.

Maintained by Stephan Fischer. Last updated 5 months ago.

immunooncology geneexpression go multiplecomparison singlecell transcriptomics

1.7 match 5.89 score 78 scripts

rmi-pacta

pacta.loanbook:Easily Install and Load PACTA for Banks Packages

PACTA (Paris Agreement Capital Transition Assessment) for Banks is a tool that allows banks to calculate the climate alignment of their corporate lending portfolios. This package is designed to make it easy to install and load multiple PACTA for Banks packages in a single step. It also provides thorough documentation - the PACTA for Banks cookbook at <https://rmi-pacta.github.io/pacta.loanbook/articles/cookbook_overview.html> - on how to run a PACTA for Banks analysis. This covers prerequisites for the analysis, the separate steps of running the analysis, the interpretation of PACTA for Banks results, and advanced use cases.

Maintained by Jacob Kastl. Last updated 14 days ago.

1.8 match 1 stars 5.73 score 12 scripts

gesistsa

rang:Reconstructing Reproducible R Computational Environments

Resolve the dependency graph of R packages at a specific time point based on the information from various 'R-hub' web services <https://blog.r-hub.io/>. The dependency graph can then be used to reconstruct the R computational environment with 'Rocker' <https://rocker-project.org>.

Maintained by Chung-hong Chan. Last updated 2 months ago.

reproducibility reproducible-research

1.5 match 80 stars 6.32 score 13 scripts

chjackson

disbayes:Bayesian Multi-State Modelling of Chronic Disease Burden Data

Estimation of incidence and case fatality for a chronic disease, given partial information, using a multi-state model. Given data on age-specific mortality and either incidence or prevalence, Bayesian inference is used to estimate the posterior distributions of incidence, case fatality, and functions of these such as prevalence. The methods are described in Jackson et al. (2023) <doi:10.1093/jrsssa/qnac015>.

Maintained by Christopher Jackson. Last updated 1 years ago.

cpp

2.0 match 7 stars 4.54 score 10 scripts

tuncerkerem

experimentr:Datasets Used in Social Science Experiments: A Hands-on Introduction

Contains all the datasets that were used in Social Science Experiments: A Hands-On Introduction and in its R Companion. Relevant materials can be found at <https://osf.io/b78je>.

Maintained by Kerem Tuncer. Last updated 3 years ago.

3.3 match 2.70 score 8 scripts

jl5000

tidyged:Handle GEDCOM Files Using Tidyverse Principles

Create and summarise family tree GEDCOM files using tidy dataframes.

Maintained by Jamie Lendrum. Last updated 3 years ago.

1.5 match 8 stars 5.96 score 23 scripts 3 dependents

data-cleaning

validatetools:Checking and Simplifying Validation Rule Sets

Rule sets with validation rules may contain redundancies or contradictions. Functions for finding redundancies and problematic rules are provided, given a set a rules formulated with 'validate'.

Maintained by Edwin de Jonge. Last updated 10 months ago.

data-cleaning rules validation

2.0 match 15 stars 4.47 score 39 scripts

insightsengineering

verdepcheck:Check Package using Various Versions of Dependencies

Derive package dependencies from DESCRIPTION file using various strategies and run "R CMD CHECK" to validate package compatibility.

Maintained by Pawel Rucki. Last updated 6 months ago.

check devtools testing utils

1.7 match 7 stars 5.36 score 1 scripts

bupaverse

bupaverse:Easily Install and Load the 'bupaverse'

The 'bupaverse' is an open-source, integrated suite of R-packages for handling and analysing business process data, developed by the Business Informatics research group at Hasselt University, Belgium. Profoundly inspired by the 'tidyverse' package, the 'bupaverse' package is designed to facilitate the installation and loading of multiple 'bupaverse' packages in a single step. Learn more about 'bupaverse' at the <https://bupar.net> homepage.

Maintained by Gert Janssenswillen. Last updated 2 years ago.

2.0 match 2 stars 4.32 score 21 scripts

tpetzoldt

simecol:Simulation of Ecological (and Other) Dynamic Systems

An object oriented framework to simulate ecological (and other) dynamic systems. It can be used for differential equations, individual-based (or agent-based) and other models as well. It supports structuring of simulation scenarios (to avoid copy and paste) and aims to improve readability and re-usability of code.

Maintained by Thomas Petzoldt. Last updated 8 months ago.

1.7 match 4.76 score 190 scripts

doktorandahl

uncertainUCDP:Parametric Mixture Models for Uncertainty Estimation of Fatalities in UCDP Conflict Data

Provides functions for estimating uncertainty in the number of fatalities in the Uppsala Conflict Data Program (UCDP) data. The package implements a parametric reported-value Gumbel mixture distribution that accounts for the uncertainty in the number of fatalities in the UCDP data. The model is based on information from a survey on UCDP coders and how they view the uncertainty of the number of fatalities from UCDP events. The package provides functions for making random draws of fatalities from the mixture distribution, as well as to estimate percentiles, quantiles, means, and other statistics of the distribution. Full details on the survey and estimation procedure can be found in Vesco et al (2024).

Maintained by David Randahl. Last updated 9 months ago.

3.3 match 2.48 score

cran

clarkeTest:Distribution-Free Tests of Non-Nested Models

Implementation of Clarke's distribution-free test of non-nested models. Currently supported model functions are: lm(), glm() ('binomial', 'poisson', 'negative binomial' links), polr() ('MASS'), clm() ('ordinal'), and multinom() ('nnet'). For more information on the test, see Clarke (2007) <doi:10.1093/pan/mpm004>.

Maintained by Dave Armstrong. Last updated 11 months ago.

4.5 match 1.70 score

lhdjung

roundwork:Rounding Infrastructure

Flexible rounding functions for use in error detection. They were outsourced from the 'scrutiny' package.

Maintained by Lukas Jung. Last updated 6 months ago.

1.5 match 5.08 score

r-lib

generics:Common S3 Generics not Provided by Base R Methods Related to Model Fitting

In order to reduce potential package dependencies and conflicts, generics provides a number of commonly used S3 generics.

Maintained by Hadley Wickham. Last updated 1 years ago.

0.5 match 61 stars 14.00 score 131 scripts 9.8k dependents

rmi-pacta

pactaverse:Easily Install and Load the 'PACTA-verse'

The 'pactaverse' is a set of packages that work to help R users implement various functionality related to the PACTA open source project.

Maintained by Jackson Hoffart. Last updated 4 months ago.

2.0 match 6 stars 3.73 score 3 scripts

r-lib

pak:Another Approach to Package Installation

The goal of 'pak' is to make package installation faster and more reliable. In particular, it performs all HTTP operations in parallel, so metadata resolution and package downloads are fast. Metadata and package files are cached on the local disk as well. 'pak' has a dependency solver, so it finds version conflicts before performing the installation. This version of 'pak' supports CRAN, 'Bioconductor' and 'GitHub' packages as well.

Maintained by Gábor Csárdi. Last updated 7 days ago.

0.5 match 717 stars 13.03 score 277 scripts 17 dependents

majerr

sqlhelper:Easier 'SQL' Integration

Execute files of 'SQL' and manage database connections. 'SQL' statements and queries may be interpolated with string literals. Execution of individual statements and queries may be controlled with keywords. Multiple connections may be defined with 'YAML' and accessed by name.

Maintained by Matthew Roberts. Last updated 1 years ago.

1.1 match 2 stars 5.19 score 39 scripts

r-multiverse

multiverse.internals:Internal Infrastructure for R-multiverse

R-multiverse requires this internal infrastructure package to automate contribution reviews and populate universes.

Maintained by William Michael Landau. Last updated 16 days ago.

1.8 match 1 stars 3.30 score 1 scripts

bioc

clippda:A package for the clinical proteomic profiling data analysis

Methods for the nalysis of data from clinical proteomic profiling studies. The focus is on the studies of human subjects, which are often observational case-control by design and have technical replicates. A method for sample size determination for planning these studies is proposed. It incorporates routines for adjusting for the expected heterogeneities and imbalances in the data and the within-sample replicate correlations.

Maintained by Stephen Nyangoma. Last updated 5 months ago.

proteomics onechannel preprocessing differentialexpression multiplecomparison

1.7 match 3.30 score 2 scripts

cran

ibelief:Belief Function Implementation

Some basic functions to implement belief functions including: transformation between belief functions using the method introduced by Philippe Smets <arXiv:1304.1122>, evidence combination, evidence discounting, decision-making, and constructing masses. Currently, thirteen combination rules and six decision rules are supported. It can also be used to generate different types of random masses when working on belief combination and conflict management.

Maintained by Kuang Zhou. Last updated 4 years ago.

2.5 match 1 stars 2.18 score 1 dependents

henrikbengtsson

R.methodsS3:S3 Methods Simplified

Methods that simplify the setup of S3 generic functions and S3 methods. Major effort has been made in making definition of methods as simple as possible with a minimum of maintenance for package developers. For example, generic functions are created automatically, if missing, and naming conflict are automatically solved, if possible. The method setMethodS3() is a good start for those who in the future may want to migrate to S4. This is a cross-platform package implemented in pure R that generates standard S3 methods.

Maintained by Henrik Bengtsson. Last updated 3 years ago.

0.5 match 1 stars 8.69 score 23 scripts 837 dependents

moodymudskipper

powerjoin:Extensions of 'dplyr' and 'fuzzyjoin' Join Functions

We extend 'dplyr' and 'fuzzyjoin' join functions with features to preprocess the data, apply various data checks, and deal with conflicting columns.

Maintained by Antoine Fabri. Last updated 4 months ago.

0.5 match 101 stars 8.00 score 64 scripts 2 dependents

gabriel-assuncao

SIPDIBGE:Collection of Household Survey Packages Conducted by IBGE

Provides access to packages developed for downloading, reading and analyzing microdata from household surveys in Integrated System of Household Surveys - SIPD conducted by Brazilian Institute of Geography and Statistics - IBGE. More information can be obtained from the official website <https://www.ibge.gov.br/>.

Maintained by Gabriel Assuncao. Last updated 1 years ago.

ibge sipd

1.8 match 2 stars 2.30 score

certe-medical-epidemiology

certedata:A Certe R Package for Loading 'certedata' Universe

A Certe R Package for loading all R packages in the 'certedata' universe, based on the 'tidyverse/tidyverse' repo. This package is part of the 'certedata' universe.

Maintained by Matthijs S. Berends. Last updated 12 months ago.

1.9 match 2.00 score 2 scripts

bayesstats

bamdit:Bayesian Meta-Analysis of Diagnostic Test Data

Provides a new class of Bayesian meta-analysis models that incorporates a model for internal and external validity bias. In this way, it is possible to combine studies of diverse quality and different types. For example, we can combine the results of randomized control trials (RCTs) with the results of observational studies (OS).

Maintained by Pablo Emilio Verde. Last updated 2 months ago.

jags cpp

1.8 match 2.05 score 14 scripts

e-kotov

rJavaEnv:'Java' Environments for R Projects

Quickly install 'Java Development Kit (JDK)' without administrative privileges and set environment variables in current R session or project to solve common issues with 'Java' environment management in 'R'. Recommended to users of 'Java'/'rJava'-dependent 'R' packages such as 'r5r', 'opentripplanner', 'xlsx', 'openNLP', 'rWeka', 'RJDBC', 'tabulapdf', and many more. 'rJavaEnv' prevents common problems like 'Java' not found, 'Java' version conflicts, missing 'Java' installations, and the inability to install 'Java' due to lack of administrative privileges. 'rJavaEnv' automates the download, installation, and setup of the 'Java' on a per-project basis by setting the relevant 'JAVA_HOME' in the current 'R' session or the current working directory (via '.Rprofile', with the user's consent). Similar to what 'renv' does for 'R' packages, 'rJavaEnv' allows different 'Java' versions to be used across different projects, but can also be configured to allow multiple versions within the same project (e.g. with the help of 'targets' package). Note: there are a few extra steps for 'Linux' users, who don't have any 'Java' previously installed in their system, and who prefer package installation from source, rather then installing binaries from 'Posit Package Manager'. See documentation for details.

Maintained by Egor Kotov. Last updated 8 hours ago.

environments java reproducibility reproducible-research

0.5 match 16 stars 6.95 score 7 scripts

cran

googleTagManageR:Access the 'Google Tag Manager' API using R

Interact with the 'Google Tag Manager' API <https://developers.google.com/tag-platform/tag-manager/api/v2>, enabling scripted deployments and updates across multiple tags, triggers, variables and containers.

Maintained by James Cottrill. Last updated 3 years ago.

2.0 match 1.70 score

selesnow

galigor:Collection of Packages for Internet Marketing

Collection of packages for work with API 'Google Ads' <https://developers.google.com/google-ads/api/docs/start>, 'Yandex Direct' <https://yandex.ru/dev/direct/>, 'Yandex Metrica' <https://yandex.ru/dev/metrika/>, 'MyTarget' <https://target.my.com/help/advertisers/api_arrangement/ru>, 'Vkontakte' <https://vk.com/dev/methods>, 'Facebook' <https://developers.facebook.com/docs/marketing-apis/> and 'AppsFlyer' <https://support.appsflyer.com/hc/en-us/articles/207034346-Using-Pull-API-aggregate-data>. This packages allows you loading data from ads account and manage your ads materials.

Maintained by Alexey Seleznev. Last updated 4 years ago.

2.0 match 1.70 score 2 scripts

ctu-bern

svn:Interface Between SVN and R

Get information on SVN repositories through R. Explore file status, commit logs etc.

Maintained by Alan Haynes. Last updated 1 years ago.

2.0 match 1.70 score 2 scripts

poissonconsulting

universals:S3 Generics for Bayesian Analyses

Provides S3 generic methods and some default implementations for Bayesian analyses that generate Markov Chain Monte Carlo (MCMC) samples. The purpose of 'universals' is to reduce package dependencies and conflicts. The 'nlist' package implements many of the methods for its 'nlist' class.

Maintained by Joe Thorley. Last updated 3 months ago.

generics model-fitting s3

0.5 match 4 stars 6.37 score 1 scripts 20 dependents

olisansonwu

diyar:Record Linkage and Epidemiological Case Definitions in 'R'

An R package for iterative and batched record linkage, and applying epidemiological case definitions. 'diyar' can be used for deterministic and probabilistic record linkage, or multistage record linkage combining both approaches. It features the implementation of nested match criteria, and mechanisms to address missing data and conflicting matches during stepwise record linkage. Case definitions are implemented by assigning records to groups based on match criteria such as person or place, and overlapping time or duration of events e.g. sample collection dates or periods of hospital stays. Matching records are assigned a unique group ID. Index and duplicate records are removed or further analyses as required.

Maintained by Olisaeloka Nsonwu. Last updated 3 months ago.

0.5 match 6 stars 4.77 score 33 scripts

jozefhajnala

languageserversetup:Automated Setup and Auto Run for R Language Server

Allows to install the R 'languageserver' with all dependencies into a separate library and use that independent installation automatically when R is instantiated as a language server process. Useful for making language server seamless to use without running into package version conflicts.

Maintained by Jozef Hajnala. Last updated 4 years ago.

language-server-protocol

0.5 match 30 stars 4.39 score 2 scripts

solivella

NetMix:Dynamic Mixed-Membership Network Regression Model

Stochastic collapsed variational inference on mixed-membership stochastic blockmodel for networks, incorporating node-level predictors of mixed-membership vectors, as well as dyad-level predictors. For networks observed over time, the model defines a hidden Markov process that allows the effects of node-level predictors to evolve in discrete, historical periods. In addition, the package offers a variety of utilities for exploring results of estimation, including tools for conducting posterior predictive checks of goodness-of-fit and several plotting functions. The package implements methods described in Olivella, Pratt and Imai (2019) 'Dynamic Stochastic Blockmodel Regression for Social Networks: Application to International Conflicts', available at <https://www.santiagoolivella.info/pdfs/socnet.pdf>.

Maintained by Santiago Olivella. Last updated 1 years ago.

openblas cpp openmp

0.5 match 11 stars 4.30 score 36 scripts

andreaphsz

importar:Enables Importing/Loading of Packages or Functions While Creating an Alias for Them

Enables 'Python'-like importing/loading of packages or functions with aliasing to prevent namespace conflicts.

Maintained by Andrea Cantieni. Last updated 8 years ago.

import

0.5 match 17 stars 3.93 score 2 scripts

bioc

QuaternaryProd:Computes the Quaternary Dot Product Scoring Statistic for Signed and Unsigned Causal Graphs

QuaternaryProd is an R package that performs causal reasoning on biological networks, including publicly available networks such as STRINGdb. QuaternaryProd is an open-source alternative to commercial products such as Inginuity Pathway Analysis. For a given a set of differentially expressed genes, QuaternaryProd computes the significance of upstream regulators in the network by performing causal reasoning using the Quaternary Dot Product Scoring Statistic (Quaternary Statistic), Ternary Dot product Scoring Statistic (Ternary Statistic) and Fisher's exact test (Enrichment test). The Quaternary Statistic handles signed, unsigned and ambiguous edges in the network. Ambiguity arises when the direction of causality is unknown, or when the source node (e.g., a protein) has edges with conflicting signs for the same target gene. On the other hand, the Ternary Statistic provides causal reasoning using the signed and unambiguous edges only. The Vignette provides more details on the Quaternary Statistic and illustrates an example of how to perform causal reasoning using STRINGdb.

Maintained by Carl Tony Fakhry. Last updated 5 months ago.

graphandnetwork geneexpression transcription cpp

0.5 match 4.00 score 1 scripts

jayrobwilliams

RWmisc:Miscellaneous Spatial Functions

Contains convenience functions for working with spatial data across multiple UTM zones, raster-vector operations common in the analysis of conflict data, and converting degrees, minutes, and seconds latitude and longitude coordinates to decimal degrees.

Maintained by Rob Williams. Last updated 3 years ago.

gis

0.5 match 3.81 score 13 scripts

cran

GameTheory:Cooperative Game Theory

Implementation of a common set of punctual solutions for Cooperative Game Theory.

Maintained by Sebastian Cano-Berlanga. Last updated 2 years ago.

1.9 match 1.00 score

stemangiola

ttservice:A Service for Tidy Transcriptomics Software Suite

It provides generic methods that are used by more than one package, avoiding conflicts. This package will be imported by 'tidySingleCellExperiment' and 'tidyseurat'.

Maintained by Stefano Mangiola. Last updated 10 months ago.

0.5 match 3.26 score 6 dependents

rahmarid

stablespec:Stable Specification Search in Structural Equation Models

An exploratory and heuristic approach for specification search in Structural Equation Modeling. The basic idea is to subsample the original data and then search for optimal models on each subset. Optimality is defined through two objectives: model fit and parsimony. As these objectives are conflicting, we apply a multi-objective optimization methods, specifically NSGA-II, to obtain optimal models for the whole range of model complexities. From these optimal models, we consider only the relevant model specifications (structures), i.e., those that are both stable (occur frequently) and parsimonious and use those to infer a causal model.

Maintained by Ridho Rahmadi. Last updated 8 years ago.

0.5 match 5 stars 3.40 score 7 scripts

zhukovyuri

xSub:Cross-National Data on Sub-National Violence

Tools to download and merge data files on sub-national conflict, violence and protests from <http://www.x-sub.org>.

Maintained by Yuri Zhukov. Last updated 3 years ago.

0.5 match 3 stars 3.18 score 6 scripts

billvenables

MASSExtra:Some 'MASS' Enhancements

Some enhancements, extensions and additions to the facilities of the recommended 'MASS' package that are useful mainly for teaching purposes, with more convenient default settings and user interfaces. Key functions from 'MASS' are imported and re-exported to avoid masking conflicts. In addition we provide some additional functions mainly used to illustrate coding paradigms and techniques, such as Gramm-Schmidt orthogonalisation and generalised eigenvalue problems.

Maintained by Bill Venables. Last updated 2 years ago.

0.5 match 2.74 score 11 scripts

cran

psBayesborrow:Bayesian Information Borrowing with Propensity Score Matching

Hybrid control design is a way to borrow information from external controls to augment concurrent controls in a randomized controlled trial and is expected to overcome the feasibility issue when adequate randomized controlled trials cannot be conducted. A major challenge in the hybrid control design is its inability to eliminate a prior-data conflict caused by systematic imbalances in measured or unmeasured confounding factors between patients in the concurrent treatment/control group and external controls. To prevent the prior-data conflict, a combined use of propensity score matching and Bayesian commensurate prior has been proposed in the context of hybrid control design. The propensity score matching is first performed to guarantee the balance in baseline characteristics, and then the Bayesian commensurate prior is constructed while discounting the information based on the similarity in outcomes between the concurrent and external controls. 'psBayesborrow' is a package to implement the propensity score matching and the Bayesian analysis with commensurate prior, as well as to conduct a simulation study to assess operating characteristics of the hybrid control design, where users can choose design parameters in flexible and straightforward ways depending on their own application.

Maintained by Yusuke Yamaguchi. Last updated 1 years ago.

cpp

0.8 match 1.70 score

barryzee

NoviceDeveloperResources:Resources to Assist Novice Developers

Assist novice developers when preparing a single package or a set of integrated packages to submit to CRAN. Automate 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.

Maintained by Barry Zeeberg. Last updated 11 months ago.

0.5 match 2.48 score 1 dependents

cran

BayesGOF:Bayesian Modeling via Frequentist Goodness-of-Fit

A Bayesian data modeling scheme that performs four interconnected tasks: (i) characterizes the uncertainty of the elicited parametric prior; (ii) provides exploratory diagnostic for checking prior-data conflict; (iii) computes the final statistical prior density estimate; and (iv) executes macro- and micro-inference. Primary reference is Mukhopadhyay, S. and Fletcher, D. 2018 paper "Generalized Empirical Bayes via Frequentist Goodness of Fit" (<https://www.nature.com/articles/s41598-018-28130-5 >).

Maintained by Doug Fletcher. Last updated 6 years ago.

0.5 match 2.48 score 1 dependents

jendelman

LPmerge:Merging Linkage Maps by Linear Programming

Creates a consensus genetic map by merging linkage maps from different populations. The software uses linear programming (LP) to efficiently minimize the mean absolute error between the consensus map and the linkage maps. This minimization is performed subject to linear inequality constraints that ensure the ordering of the markers in the linkage maps is preserved. When marker order is inconsistent between linkage maps, a minimum set of ordinal constraints is deleted to resolve the conflicts.

Maintained by Jeffrey Endelman. Last updated 7 years ago.

0.5 match 2.00 score 5 scripts

barryzee

NoviceDeveloperResources2:Further Resources to Assist Novice Developers

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.

Maintained by Barry Zeeberg. Last updated 11 months ago.

0.5 match 2.00 score