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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>.

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data-sciencetidyverse

20.48 score 1.8k stars 128 dependents 1.2M scripts 1.1M downloads

psych - Procedures for Psychological, Psychometric, and Personality Research

A general purpose toolbox developed originally for personality, psychometric theory and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multiple levels include within and between group statistics, including correlations and factor analysis. Validation and cross validation of scales developed using basic machine learning algorithms are provided, as are functions for simulating and testing particular item and test structures. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, including mediation models, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometric theory as well as publications in personality research. For more information, see the <https://personality-project.org/r/> web page.

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14.41 score 57 stars 347 dependents 39k scripts 280k downloads

commonmark - High Performance CommonMark and Github Markdown Rendering in R

The CommonMark specification <https://github.github.com/gfm/> defines a rationalized version of markdown syntax. This package uses the 'cmark' reference implementation for converting markdown text into various formats including html, latex and groff man. In addition it exposes the markdown parse tree in xml format. Also includes opt-in support for GFM extensions including tables, autolinks, and strikethrough text.

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cmarkcmark-gfmgfmmarkdown

13.29 score 101 stars 2.5k dependents 106 scripts 689k downloads

rstan - R Interface to Stan

User-facing R functions are provided to parse, compile, test, estimate, and analyze Stan models by accessing the header-only Stan library provided by the 'StanHeaders' package. The Stan project develops a probabilistic programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian inference via 'variational' approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three cases, automatic differentiation is used to quickly and accurately evaluate gradients without burdening the user with the need to derive the partial derivatives.

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cpp

13.12 score 4 stars 286 dependents 18k scripts 542k downloads

cmdstanr - R Interface to 'CmdStan'

A lightweight interface to 'Stan' <https://mc-stan.org>. The 'CmdStanR' interface is an alternative to 'RStan' that calls the command line interface for compilation and running algorithms instead of interfacing with C++ via 'Rcpp'. This has many benefits including always being compatible with the latest version of Stan, fewer installation errors, fewer unexpected crashes in RStudio, and a more permissive license.

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bayesbayesianmarkov-chain-monte-carlomaximum-likelihoodmcmcstanvariational-inference

12.79 score 158 stars 7 dependents 10k scripts

keyring - Access the System Credential Store from R

Platform independent 'API' to access the operating system's credential store. Currently supports: 'Keychain' on 'macOS', Credential Store on 'Windows', the Secret Service 'API' on 'Linux', and simple, platform independent stores implemented with environment variables or encrypted files. Additional storage back-ends can be added easily.

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keyringsecuritylibsecretglib

12.61 score 203 stars 76 dependents 1.0k scripts 24k downloads

sodium - A Modern and Easy-to-Use Crypto Library

Bindings to 'libsodium' <https://doc.libsodium.org/>: a modern, easy-to-use software library for encryption, decryption, signatures, password hashing and more. Sodium uses curve25519, a state-of-the-art Diffie-Hellman function by Daniel Bernstein, which has become very popular after it was discovered that the NSA had backdoored Dual EC DRBG.

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libsodium

12.22 score 72 stars 60 dependents 238 scripts 34k downloads

StanHeaders - C++ Header Files for Stan

The C++ header files of the Stan project are provided by this package, but it contains little R code or documentation. The main reference is the vignette. There is a shared object containing part of the 'CVODES' library, but its functionality is not accessible from R. 'StanHeaders' is primarily useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.

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9.50 score 359 dependents 424 scripts 687k downloads

codebook - Automatic Codebooks from Metadata Encoded in Dataset Attributes

Easily automate the following tasks to describe data frames: Summarise the distributions, and labelled missings of variables graphically and using descriptive statistics. For surveys, compute and summarise reliabilities (internal consistencies, retest, multilevel) for psychological scales. Combine this information with metadata (such as item labels and labelled values) that is derived from R attributes. To do so, the package relies on 'rmarkdown' partials, so you can generate HTML, PDF, and Word documents. Codebooks are also available as tables (CSV, Excel, etc.) and in JSON-LD, so that search engines can find your data and index the metadata. The metadata are also available at your fingertips via RStudio Addins.

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codebookdocumentationformrjson-ldmetadataspsswebapp

8.40 score 150 stars 278 scripts 678 downloads

formr - Companion R Package for the 'formr' Survey Framework

Serves as a companion toolkit for the 'formr' survey framework (<https://rforms.org>). The package acts as a bridge between a 'formr' server and a local R environment. Key features include an API client for fetching, type-casting, and automatically scoring data; a project management workflow for syncing study assets (surveys, CSS) for local editing; and functions for use within 'formr' runs to generate dynamic, personalized feedback plots and to simplify survey logic.

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convenience-functionsformrsurvey-framework

7.56 score 58 stars 131 scripts

rmdpartials - Partial 'rmarkdown' Documents to Prettify your Reports

Use 'rmarkdown' partials, also know as child documents in 'knitr', so you can make components for HTML, PDF, and Word documents. The package provides various helper functions to make certain functions easier. You may want to use this package, if you want to flexibly summarise objects using a combination of figures, tables, text, and HTML widgets. Unlike HTML widgets, the output is Markdown and can hence be turn into other output formats than HTML. Currently does not play well with 'rmarkdown' notebooks, not tested with Quarto.

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6.03 score 8 stars 5 dependents 18 scripts 829 downloads