Description
Search and Query CRAN R Packages.
Description
Search CRAN metadata about packages by keyword, popularity, recent activity, package name and more. Uses the 'R-hub' search server, see <https://r-pkg.org> and the CRAN metadata database, that contains information about CRAN packages. Note that this is _not_ a CRAN project.
README.md
Search and Query CRAN R Packages
pkgsearch uses R-hub web services that munge CRAN metadata and let you access it through several lenses.
Installation
Install the latest pkgsearch release from CRAN:
install.packages("pkgsearch")
The development version is on GitHub:
pak::pak("r-hub/pkgsearch")
Usage
Search relevant packages
Do you need to find packages solving a particular problem, e.g. “permutation test”?
library("pkgsearch")
library("pillar") # nicer data frame printing
pkg_search("permutation test")
#> - "permutation test" ------------------------------------ 2441 packages in 0.02 seconds -
#> # package version by @ title
#> 1 100 coin 1.4.3 Torsten Hothorn 2M Conditional Inference Procedu...
#> 2 50 perm 1.0.0.4 Michael P. Fay 3M Exact or Asymptotic Permutati...
#> 3 48 exactRankTests 0.8.35 Torsten Hothorn 2y Exact Distributions for Rank ...
#> 4 35 jmuOutlier 2.2 Steven T. Garren 4y Permutation Tests for Nonpara...
#> 5 35 nptest 1.1 Nathaniel E. Helwig 7M Nonparametric Bootstrap and P...
#> 6 33 lmPerm 2.1.0 Marco Torchiano 7y Permutation Tests for Linear ...
#> 7 29 wPerm 1.0.1 Neil A. Weiss 8y Permutation Tests
#> 8 27 flip 2.5.0 Livio Finos 5y Multivariate Permutation Tests
#> 9 25 cpt 1.0.2 Johann Gagnon-Bartsch 5y Classification Permutation Test
#> 10 25 AUtests 0.99 Arjun Sondhi 3y Approximate Unconditional and...
pkgsearch uses an R-hub web service and a careful ranking that puts popular packages before less frequently used ones.
Do it all clicking
For the search mentioned above, and other points of entry to CRAN metadata, you can use pkgsearch RStudio add-in!
Select the “CRAN package search” addin from the menu, or start it with pkg_search_addin().
Get package metadata
Do you want to find the dependencies the first versions of testthat had and when each of these versions was released?
cran_package_history("testthat")
#> # A data frame: 44 × 29
#> Package Type Title Version Author Maintainer Description URL License LazyData
#> * <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 testthat Package Tools fo… 0.1 Hadle… Hadley Wi… Test_that … http… GPL true
#> 2 testthat Package Testthat… 0.1.1 Hadle… Hadley Wi… A testing … http… GPL true
#> 3 testthat Package Testthat… 0.2 Hadle… Hadley Wi… A testing … http… GPL true
#> 4 testthat Package Testthat… 0.3 Hadle… Hadley Wi… A testing … http… GPL true
#> 5 testthat Package Testthat… 0.4 Hadle… Hadley Wi… A testing … http… GPL true
#> 6 testthat Package Testthat… 0.5 Hadle… Hadley Wi… A testing … http… GPL true
#> 7 testthat Package Testthat… 0.6 Hadle… Hadley Wi… A testing … http… GPL true
#> 8 testthat Package Testthat… 0.7 Hadle… Hadley Wi… A testing … http… GPL true
#> 9 testthat Package Testthat… 0.7.1 Hadle… Hadley Wi… A testing … http… GPL true
#> 10 testthat Package Testthat… 0.8 Hadle… Hadley Wi… A testing … http… MIT + … true
#> # ℹ 34 more rows
#> # ℹ 19 more variables: Collate <chr>, Packaged <chr>, Repository <chr>,
#> # `Date/Publication` <chr>, crandb_file_date <chr>, date <chr>, dependencies <list>,
#> # NeedsCompilation <chr>, Roxygen <chr>, `Authors@R` <chr>, BugReports <chr>,
#> # RoxygenNote <chr>, VignetteBuilder <chr>, Encoding <chr>, MD5sum <chr>,
#> # `Config/testthat/edition` <chr>, `Config/testthat/parallel` <chr>,
#> # `Config/testthat/start-first` <chr>, `Config/Needs/website` <chr>
Discover packages
Do you want to know what packages are trending on CRAN these days? pkgsearch can help!
cran_trending()
#> # A data frame: 100 × 2
#> package score
#> <chr> <chr>
#> 1 pcalg 1203.6334096447825100
#> 2 nlraa 970.2647657841140500
#> 3 sur 843.7564499484004100
#> 4 dynr 501.1116481391976800
#> 5 imbalance 448.0396203054065200
#> 6 DoE.base 423.4324791958474100
#> 7 precrec 386.7902114516512200
#> 8 Sejong 334.8732815860843500
#> 9 apcluster 325.1561461794019900
#> 10 multilinguer 313.1972588608061300
#> # ℹ 90 more rows
cran_top_downloaded()
#> # A data frame: 100 × 2
#> package count
#> <chr> <chr>
#> 1 ragg 840026
#> 2 textshaping 826270
#> 3 ggplot2 698736
#> 4 devtools 534494
#> 5 pkgdown 514648
#> 6 rlang 500676
#> 7 rgl 489969
#> 8 sf 438924
#> 9 dplyr 416520
#> 10 lifecycle 389821
#> # ℹ 90 more rows
Keep up with CRAN
Are you curious about the latest releases or archivals?
cran_events()
#> CRAN events (events)---------------------------------------------------------------------
#> . When Package Version Title
#> + 3 hours TestAnaAPP 0.1.4 The 'shiny' App for Test Analysis and Visualization
#> + 3 hours NMcalc 0.0.2 Basic Calculations for PK/PD Modeling
#> + 7 hours CASMI 1.2.0 'CASMI'-Based Functions
#> + 8 hours cobalt 4.5.2 Covariate Balance Tables and Plots
#> + 9 hours raqs 1.0.2 Interface to the US EPA Air Quality System (AQS) API
#> + 9 hours str2str 1.0.0 Convert R Objects from One Structure to Another
#> + 9 hours hemispheR 1.1.0 Processing Hemispherical Canopy Images
#> + 10 hours tidyfit 0.6.5 Regularized Linear Modeling with Tidy Data
#> + 11 hours FlexVarJM 0.1.0 Estimate Joint Models with Subject-Specific Variance
#> + 11 hours ggScatRidges 0.1.0 Scatter Plot Combined with Ridgelines in 'ggplot2'
Search features
More details
By default it returns a short summary of the ten best search hits. Their details can be printed by using the format = "long" option of pkg_search(), or just calling pkg_search() again, without any arguments, after a search:
library(pkgsearch)
pkg_search("C++")
#> - "C++" ----------------------------------------------- 15310 packages in 0.016 seconds -
#> # package version by @ title
#> 1 100 Rcpp 1.0.11 Dirk Eddelbuettel 5M Seamless R and C++ Integration
#> 2 35 BH 1.81.0.1 Dirk Eddelbuettel 10M Boost C++ Header Files
#> 3 18 cpp11 0.4.6 Davis Vaughan 3M A C++11 Interface for R's C Inte...
#> 4 13 RcppProgress 0.4.2 Karl Forner 4y An Interruptible Progress Bar wi...
#> 5 10 inline 0.3.19 Dirk Eddelbuettel 2y Functions to Inline C, C++, Fort...
#> 6 9 SnowballC 0.7.1 Milan Bouchet-Valat 7M Snowball Stemmers Based on the C...
#> 7 7 RNifti 1.5.0 Jon Clayden 6M Fast R and C++ Access to NIfTI I...
#> 8 6 xml2 1.3.5 Hadley Wickham 5M Parse XML
#> 9 6 LiblineaR 2.10.22 Thibault Helleputte 1y Linear Predictive Models Based o...
#> 10 6 readxl 1.4.3 Jennifer Bryan 5M Read Excel Files
pkg_search()
#> - "C++" ----------------------------------------------- 15310 packages in 0.016 seconds -
#>
#> 1 Rcpp @ 1.0.11 Dirk Eddelbuettel, 5 months ago
#> ---------------
#> # Seamless R and C++ Integration
#> The 'Rcpp' package provides R functions as well as C++ classes which offer a
#> seamless integration of R and C++. Many R data types and objects can be mapped
#> back and forth to C++ equivalents which facilitates both writing of new code
#> as well as easier integration of third-party libraries. Documentation about
#> 'Rcpp' is provided by several vignettes included in this package, via the
#> 'Rcpp Gallery' site at <https://gallery.rcpp.org>, the paper by Eddelbuettel
#> and Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel
#> (2013, <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and
#> Balamuta (2018, <doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")'
#> for details.
#> https://www.rcpp.org
#> https://dirk.eddelbuettel.com/code/rcpp.html
#> https://github.com/RcppCore/Rcpp
#>
#> 2 BH @ 1.81.0.1 Dirk Eddelbuettel, 10 months ago
#> ---------------
#> # Boost C++ Header Files
#> Boost provides free peer-reviewed portable C++ source libraries. A large part
#> of Boost is provided as C++ template code which is resolved entirely at
#> compile-time without linking. This package aims to provide the most useful
#> subset of Boost libraries for template use among CRAN packages. By placing
#> these libraries in this package, we offer a more efficient distribution system
#> for CRAN as replication of this code in the sources of other packages is
#> avoided. As of release 1.81.0-0, the following Boost libraries are included:
#> 'accumulators' 'algorithm' 'align' 'any' 'atomic' 'beast' 'bimap' 'bind'
#> 'circular_buffer' 'compute' 'concept' 'config' 'container' 'date_time'
#> 'detail' 'dynamic_bitset' 'exception' 'flyweight' 'foreach' 'functional'
#> 'fusion' 'geometry' 'graph' 'heap' 'icl' 'integer' 'interprocess' 'intrusive'
#> 'io' 'iostreams' 'iterator' 'lambda2' 'math' 'move' 'mp11' 'mpl'
#> 'multiprecision' 'numeric' 'pending' 'phoenix' 'polygon' 'preprocessor'
#> 'process' 'propery_tree' 'random' 'range' 'scope_exit' 'smart_ptr' 'sort'
#> 'spirit' 'tuple' 'type_traits' 'typeof' 'unordered' 'url' 'utility' 'uuid'.
#> https://github.com/eddelbuettel/bh
#> https://dirk.eddelbuettel.com/code/bh.html
#>
#> 3 cpp11 @ 0.4.6 Davis Vaughan, 3 months ago
#> ---------------
#> # A C++11 Interface for R's C Interface
#> Provides a header only, C++11 interface to R's C interface. Compared to other
#> approaches 'cpp11' strives to be safe against long jumps from the C API as
#> well as C++ exceptions, conform to normal R function semantics and supports
#> interaction with 'ALTREP' vectors.
#> https://cpp11.r-lib.org
#> https://github.com/r-lib/cpp11
#>
#> 4 RcppProgress @ 0.4.2 Karl Forner, 4 years ago
#> ----------------------
#> # An Interruptible Progress Bar with OpenMP Support for C++ in R Packages
#> Allows to display a progress bar in the R console for long running
#> computations taking place in c++ code, and support for interrupting those
#> computations even in multithreaded code, typically using OpenMP.
#> https://github.com/kforner/rcpp_progress
#>
#> 5 inline @ 0.3.19 Dirk Eddelbuettel, 2 years ago
#> -----------------
#> # Functions to Inline C, C++, Fortran Function Calls from R
#> Functionality to dynamically define R functions and S4 methods with 'inlined'
#> C, C++ or Fortran code supporting the .C and .Call calling conventions.
#> https://github.com/eddelbuettel/inline
#> https://dirk.eddelbuettel.com/code/inline.html
#>
#> 6 SnowballC @ 0.7.1 Milan Bouchet-Valat, 7 months ago
#> -------------------
#> # Snowball Stemmers Based on the C 'libstemmer' UTF-8 Library
#> An R interface to the C 'libstemmer' library that implements Porter's word
#> stemming algorithm for collapsing words to a common root to aid comparison of
#> vocabulary. Currently supported languages are Arabic, Basque, Catalan, Danish,
#> Dutch, English, Finnish, French, German, Greek, Hindi, Hungarian, Indonesian,
#> Irish, Italian, Lithuanian, Nepali, Norwegian, Portuguese, Romanian, Russian,
#> Spanish, Swedish, Tamil and Turkish.
#> https://github.com/nalimilan/R.TeMiS
#>
#> 7 RNifti @ 1.5.0 Jon Clayden, 6 months ago
#> ----------------
#> # Fast R and C++ Access to NIfTI Images
#> Provides very fast read and write access to images stored in the NIfTI-1,
#> NIfTI-2 and ANALYZE-7.5 formats, with seamless synchronisation of in-memory
#> image objects between compiled C and interpreted R code. Also provides a
#> simple image viewer, and a C/C++ API that can be used by other packages. Not
#> to be confused with 'RNiftyReg', which performs image registration and applies
#> spatial transformations.
#> https://github.com/jonclayden/RNifti
#>
#> 8 xml2 @ 1.3.5 Hadley Wickham, 5 months ago
#> --------------
#> # Parse XML
#> Work with XML files using a simple, consistent interface. Built on top of the
#> 'libxml2' C library.
#> https://xml2.r-lib.org/
#> https://github.com/r-lib/xml2
#>
#> 9 LiblineaR @ 2.10.22 Thibault Helleputte, about a year ago
#> ---------------------
#> # Linear Predictive Models Based on the LIBLINEAR C/C++ Library
#> A wrapper around the LIBLINEAR C/C++ library for machine learning (available
#> at <https://www.csie.ntu.edu.tw/~cjlin/liblinear/>). LIBLINEAR is a simple
#> library for solving large-scale regularized linear classification and
#> regression. It currently supports L2-regularized classification (such as
#> logistic regression, L2-loss linear SVM and L1-loss linear SVM) as well as
#> L1-regularized classification (such as L2-loss linear SVM and logistic
#> regression) and L2-regularized support vector regression (with L1- or
#> L2-loss). The main features of LiblineaR include multi-class classification
#> (one-vs-the rest, and Crammer & Singer method), cross validation for model
#> selection, probability estimates (logistic regression only) or weights for
#> unbalanced data. The estimation of the models is particularly fast as compared
#> to other libraries.
#> <https://dnalytics.com/software/liblinear/>
#>
#> 10 readxl @ 1.4.3 Jennifer Bryan, 5 months ago
#> -----------------
#> # Read Excel Files
#> Import excel files into R. Supports '.xls' via the embedded 'libxls' C library
#> <https://github.com/libxls/libxls> and '.xlsx' via the embedded 'RapidXML' C++
#> library <https://rapidxml.sourceforge.net/>. Works on Windows, Mac and Linux
#> without external dependencies.
#> https://readxl.tidyverse.org
#> https://github.com/tidyverse/readxl
Pagination
The more() function can be used to display the next batch of search hits, batches contain ten packages by default. ps() is a shorter alias to pkg_search():
ps("google")
#> - "google" ----------------------------------------------- 168 packages in 0.01 seconds -
#> # package version by @ title
#> 1 100 googledrive 2.1.1 Jennifer Bryan 5M An Interface to Google Drive
#> 2 84 googleVis 0.7.1 Markus Gesmann 9M R Interface to Google Charts
#> 3 81 gargle 1.5.2 Jennifer Bryan 4M Utilities for Working with Goog...
#> 4 79 googleAuthR 2.0.1 Mark Edmondson 7M Authenticate and Create Google ...
#> 5 64 googlesheets4 1.1.1 Jennifer Bryan 5M Access Google Sheets using the ...
#> 6 60 googleCloudStorageR 0.7.0 Mark Edmondson 2y Interface with Google Cloud Sto...
#> 7 55 bigrquery 1.4.2 Hadley Wickham 7M An Interface to Google's 'BigQu...
#> 8 51 gsheet 0.4.5 Max Conway 4y Download Google Sheets Using Ju...
#> 9 47 cld2 1.2.4 Jeroen Ooms 1y Google's Compact Language Detec...
#> 10 34 cld3 1.6.0 Jeroen Ooms 2M Google's Compact Language Detec...
more()
#> - "google" ---------------------------------------------- 168 packages in 0.011 seconds -
#> # package version by @ title
#> 11 33 gtrendsR 1.5.1 Philippe Massicotte 1y Perform and Display Google Tre...
#> 12 32 tensorflow 2.14.0 Tomasz Kalinowski 2M R Interface to 'TensorFlow'
#> 13 29 gfonts 0.2.0 Victor Perrier 11M Offline 'Google' Fonts for 'Ma...
#> 14 29 googleAnalyticsR 1.1.0 Mark Edmondson 1y Google Analytics API into R
#> 15 29 bigQueryR 0.5.0 Mark Edmondson 4y Interface with Google BigQuery...
#> 16 27 re2 0.1.2 Girish Palya 2y R Interface to Google RE2 (C++...
#> 17 27 googleway 2.7.8 David Cooley 3M Accesses Google Maps APIs to R...
#> 18 27 scholar 0.2.4 Guangchuang Yu 1y Analyse Citation Data from Goo...
#> 19 25 googletraffic 0.1.4 Robert Marty 5M Google Traffic
#> 20 25 rgoogleclassroom 0.9.1 Candace Savonen 3M API Wrapper for Google Classro...
Stemming
The search server uses the stems of the words in the indexed metadata, and the search phrase. This means that “colour” and “colours” deliver the exact same result. So do “coloring”, “colored”, etc. (Unless one is happen to be an exact package name or match another non-stemmed field.)
ps("colour", size = 3)
#> - "colour" ---------------------------------------------- 318 packages in 0.021 seconds -
#> # package version by @ title
#> 1 100 crayon 1.5.2 Gábor Csárdi 1y Colored Terminal Output
#> 2 62 viridis 0.6.4 Simon Garnier 4M Colorblind-Friendly Color Maps for R
#> 3 59 colorspace 2.1.0 Achim Zeileis 10M A Toolbox for Manipulating and Assessing ...
ps("colours", size = 3)
#> - "colours" ---------------------------------------------- 316 packages in 0.01 seconds -
#> # package version by @ title
#> 1 100 crayon 1.5.2 Gábor Csárdi 1y Colored Terminal Output
#> 2 62 viridis 0.6.4 Simon Garnier 4M Colorblind-Friendly Color Maps for R
#> 3 59 colorspace 2.1.0 Achim Zeileis 10M A Toolbox for Manipulating and Assessing ...
Ranking
The most important feature of a search engine is the ranking of the results. The best results should be listed first. pkgsearch uses weighted scoring, where a match in the package title gets a higher score than a match in the package description. It also uses the number of reverse dependencies and the number of downloads to weight the scores:
ps("colour")[, c("score", "package", "revdeps", "downloads_last_month")]
#> # A data frame: 10 × 4
#> score package revdeps downloads_last_month
#> <dbl> <chr> <int> <int>
#> 1 18223. crayon 375 715661
#> 2 11222. viridis 200 288752
#> 3 10806. colorspace 191 742038
#> 4 9907. pillar 112 1208927
#> 5 7338. viridisLite 95 750543
#> 6 6722. colourpicker 47 35221
#> 7 4652. ggnewscale 33 21712
#> 8 4629. RColorBrewer 598 683668
#> 9 4471. shape 31 177749
#> 10 4229. colorRamps 21 4917
Preferring Phrases
The search engine prefers matching whole phrases over single words. E.g. the search phrase “permutation test” will rank coin higher than testthat, even though testthat is a much better result for the single word “test”. (In fact, at the time of writing testthat is not even on the first page of results.)
ps("permutation test")
#> - "permutation test" ------------------------------------ 2441 packages in 0.02 seconds -
#> # package version by @ title
#> 1 100 coin 1.4.3 Torsten Hothorn 2M Conditional Inference Procedu...
#> 2 50 perm 1.0.0.4 Michael P. Fay 3M Exact or Asymptotic Permutati...
#> 3 48 exactRankTests 0.8.35 Torsten Hothorn 2y Exact Distributions for Rank ...
#> 4 35 jmuOutlier 2.2 Steven T. Garren 4y Permutation Tests for Nonpara...
#> 5 35 nptest 1.1 Nathaniel E. Helwig 7M Nonparametric Bootstrap and P...
#> 6 33 lmPerm 2.1.0 Marco Torchiano 7y Permutation Tests for Linear ...
#> 7 29 wPerm 1.0.1 Neil A. Weiss 8y Permutation Tests
#> 8 27 flip 2.5.0 Livio Finos 5y Multivariate Permutation Tests
#> 9 25 cpt 1.0.2 Johann Gagnon-Bartsch 5y Classification Permutation Test
#> 10 25 AUtests 0.99 Arjun Sondhi 3y Approximate Unconditional and...
If the whole phrase does not match, pkgsearch falls back to individual matching words. For example, a match from either words is enough here, to get on the first page of results:
ps("test http")
#> - "test http" ------------------------------------------ 6786 packages in 0.022 seconds -
#> # package version by @ title
#> 1 100 httptest 4.2.1 Neal Richardson 5M A Test Environment for HTTP Requests
#> 2 13 webfakes 1.2.1 Gábor Csárdi 2M Fake Web Apps for HTTP Testing
#> 3 13 vcr 1.2.2 Scott Chamberlain 5M Record 'HTTP' Calls to Disk
#> 4 13 psych 2.3.9 William Revelle 2M Procedures for Psychological, Psych...
#> 5 8 httr 1.4.7 Hadley Wickham 3M Tools for Working with URLs and HTTP
#> 6 8 webmockr 0.9.0 Scott Chamberlain 9M Stubbing and Setting Expectations o...
#> 7 5 bnlearn 4.9 Marco Scutari 2M Bayesian Network Structure Learning...
#> 8 5 clubSandwich 0.5.10 James Pustejovsky 4M Cluster-Robust (Sandwich) Variance ...
#> 9 4 oompaBase 3.2.9 Kevin R. Coombes 4y Class Unions, Matrix Operations, an...
#> 10 4 testthat 3.2.0 Hadley Wickham 2M Unit Testing for R
British vs American English
The search engine uses a dictionary to make sure that package metadata and queries given in British and American English yield the same results. E.g. note the spelling of colour/color in the results:
ps("colour")
#> - "colour" ---------------------------------------------- 318 packages in 0.009 seconds -
#> # package version by @ title
#> 1 100 crayon 1.5.2 Gábor Csárdi 1y Colored Terminal Output
#> 2 62 viridis 0.6.4 Simon Garnier 4M Colorblind-Friendly Color Maps for R
#> 3 59 colorspace 2.1.0 Achim Zeileis 10M A Toolbox for Manipulating and Asses...
#> 4 54 pillar 1.9.0 Kirill Müller 8M Coloured Formatting for Columns
#> 5 40 viridisLite 0.4.2 Simon Garnier 7M Colorblind-Friendly Color Maps (Lite...
#> 6 37 colourpicker 1.3.0 Dean Attali 3M A Colour Picker Tool for Shiny and f...
#> 7 26 ggnewscale 0.4.9 Elio Campitelli 6M Multiple Fill and Colour Scales in '...
#> 8 25 RColorBrewer 1.1.3 Erich Neuwirth 2y ColorBrewer Palettes
#> 9 25 shape 1.4.6 Karline Soetaert 3y Functions for Plotting Graphical Sha...
#> 10 23 colorRamps 2.3.1 Tim Keitt 2y Builds Color Tables
ps("color")
#> - "color" ----------------------------------------------- 317 packages in 0.011 seconds -
#> # package version by @ title
#> 1 100 crayon 1.5.2 Gábor Csárdi 1y Colored Terminal Output
#> 2 62 viridis 0.6.4 Simon Garnier 4M Colorblind-Friendly Color Maps for R
#> 3 59 colorspace 2.1.0 Achim Zeileis 10M A Toolbox for Manipulating and Asses...
#> 4 54 pillar 1.9.0 Kirill Müller 8M Coloured Formatting for Columns
#> 5 40 viridisLite 0.4.2 Simon Garnier 7M Colorblind-Friendly Color Maps (Lite...
#> 6 37 colourpicker 1.3.0 Dean Attali 3M A Colour Picker Tool for Shiny and f...
#> 7 26 ggnewscale 0.4.9 Elio Campitelli 6M Multiple Fill and Colour Scales in '...
#> 8 25 RColorBrewer 1.1.3 Erich Neuwirth 2y ColorBrewer Palettes
#> 9 25 shape 1.4.6 Karline Soetaert 3y Functions for Plotting Graphical Sha...
#> 10 23 colorRamps 2.3.1 Tim Keitt 2y Builds Color Tables
Ascii Folding
Especially when searching for package maintainer names, it is convenient to use the corresponding ASCII letters for non-ASCII characters in search phrases. E.g. the following two queries yield the same results. Note that case is also ignored.
ps("gabor", size = 5)
#> - "gabor" ----------------------------------------------- 105 packages in 0.009 seconds -
#> # package version by @ title
#> 1 100 cli 3.6.1 Gábor Csárdi 8M Helpers for Developing Command Line Interfaces
#> 2 83 crayon 1.5.2 Gábor Csárdi 1y Colored Terminal Output
#> 3 66 progress 1.2.2 Gábor Csárdi 5y Terminal Progress Bars
#> 4 61 fs 1.6.3 Gábor Csárdi 4M Cross-Platform File System Operations Based...
#> 5 54 zoo 1.8.12 Achim Zeileis 7M S3 Infrastructure for Regular and Irregular...
ps("Gábor", size = 5)
#> - "Gábor" ----------------------------------------------- 105 packages in 0.009 seconds -
#> # package version by @ title
#> 1 100 cli 3.6.1 Gábor Csárdi 8M Helpers for Developing Command Line Interfaces
#> 2 83 crayon 1.5.2 Gábor Csárdi 1y Colored Terminal Output
#> 3 66 progress 1.2.2 Gábor Csárdi 5y Terminal Progress Bars
#> 4 61 fs 1.6.3 Gábor Csárdi 4M Cross-Platform File System Operations Based...
#> 5 54 zoo 1.8.12 Achim Zeileis 7M S3 Infrastructure for Regular and Irregular...
More info
See the complete documentation.
License
MIT @ Gábor Csárdi, RStudio, R Consortium.