pkgsearch
uses R-hub web services that munge CRAN metadata and let you
access it through several lenses.
Install the latest pkgsearch release from CRAN:
install.packages("pkgsearch")
The development version is on GitHub:
pak::pak("r-hub/pkgsearch")
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" ----------------------------------- 2694 packages in 0.062 seconds -
#> # package version by @ title
#> 1 100 coin 1.4.3 Torsten Hothorn 1y Conditional Inference Proc...
#> 2 35 perm 1.0.0.4 Michael P. Fay 1y Exact or Asymptotic Permut...
#> 3 32 exactRankTests 0.8.35 Torsten Hothorn 3y Exact Distributions for Ra...
#> 4 31 lmPerm 2.1.0 Marco Torchiano 8y Permutation Tests for Line...
#> 5 29 flip 2.5.0 Livio Finos 6y Multivariate Permutation T...
#> 6 22 jmuOutlier 2.2 Steven T. Garren 5y Permutation Tests for Nonp...
#> 7 22 nptest 1.1 Nathaniel E. Helwig 2y Nonparametric Bootstrap an...
#> 8 19 phyloseqGraphTest 0.1.1 Julia Fukuyama 1y Graph-Based Permutation Te...
#> 9 19 wPerm 1.0.1 Neil A. Weiss 9y Permutation Tests
#> 10 17 cpt 1.0.2 Johann Gagnon-Bartsch 6y Classification Permutation...
pkgsearch uses an R-hub web service and a careful ranking that puts popular packages before less frequently used ones.
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()
.
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: 47 × 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 37 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>
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 str2str 2633.3621434745030300
#> 2 dataset 1982.4675324675324700
#> 3 priceR 1980.9412623130244400
#> 4 harbinger 545.1412604781123900
#> 5 spatial 539.8151018398643400
#> 6 gsubfn 527.1264266513903000
#> 7 proto 425.2139863982963500
#> 8 dad 420.7134086076252700
#> 9 class 371.7153561418388700
#> 10 nnet 351.3673143937156700
#> # ℹ 90 more rows
cran_top_downloaded()
#> # A data frame: 100 × 2
#> package count
#> <chr> <chr>
#> 1 rlang 297540
#> 2 cli 279443
#> 3 lifecycle 277978
#> 4 dplyr 270181
#> 5 glue 262172
#> 6 ggplot2 256966
#> 7 vctrs 252852
#> 8 jsonlite 238025
#> 9 withr 236281
#> 10 curl 221302
#> # ℹ 90 more rows
Are you curious about the latest releases or archivals?
cran_events()
#> CRAN events (events)---------------------------------------------------------------------
#> . When Package Version Title
#> + 2 hours eefAnalytics 1.1.5 Robust Analytical Methods for Evaluating Educational I...
#> + 3 hours mvhtests 1.1 Multivariate Hypothesis Tests
#> + 4 hours Compind 3.2 Composite Indicators Functions
#> + 4 hours pecora 0.1.2 Permutation Conditional Random Tests
#> + 5 hours oceanic 0.1.8 Location Identify Tool
#> + 6 hours plotthis 0.5.0 High-Level Plotting Built Upon 'ggplot2' and Other Plo...
#> + 7 hours EnsembleBase 1.0.4 Extensible Package for Parallel, Batch Training of Bas...
#> + 7 hours OralOpioids 2.0.4 Retrieving Oral Opioid Information
#> + 7 hours BayesMixSurv 0.9.3 Bayesian Mixture Survival Models using Additive Mixtur...
#> + 7 hours EMCluster 0.2-17 EM Algorithm for Model-Based Clustering of Finite Mixt...
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++" ----------------------------------------------- 10000 packages in 0.029 seconds -
#> # package version by @ title
#> 1 100 Rcpp 1.0.13.1 Dirk Eddelbuettel 2M Seamless R and C++ Integration
#> 2 33 BH 1.87.0.1 Dirk Eddelbuettel 23d Boost C++ Header Files
#> 3 21 StanHeaders 2.32.10 Ben Goodrich 6M C++ Header Files for Stan
#> 4 20 cpp11 0.5.1 Davis Vaughan 1M A C++11 Interface for R's C Inte...
#> 5 15 RPostgres 1.4.7 Kirill Müller 8M C++ Interface to PostgreSQL
#> 6 14 RcppProgress 0.4.2 Karl Forner 5y An Interruptible Progress Bar wi...
#> 7 12 covr 3.6.4 Jim Hester 1y Test Coverage for Packages
#> 8 10 RcppThread 2.2.0 Thomas Nagler 2d R-Friendly Threading in C++
#> 9 10 inline 0.3.20 Dirk Eddelbuettel 2M Functions to Inline C, C++, Fort...
#> 10 9 SnowballC 0.7.1 Milan Bouchet-Valat 2y Snowball Stemmers Based on the C...
pkg_search()
#> - "C++" ----------------------------------------------- 10000 packages in 0.029 seconds -
#>
#> 1 Rcpp @ 1.0.13.1 Dirk Eddelbuettel, 2 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 @ 1.87.0.1 Dirk Eddelbuettel, 23 days 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 1.84.0-0, 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' 'qvm' '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 StanHeaders @ 2.32.10 Ben Goodrich, 6 months ago
#> -----------------------
#> # 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.
#> https://mc-stan.org/
#>
#> 4 cpp11 @ 0.5.1 Davis Vaughan, about a month 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
#>
#> 5 RPostgres @ 1.4.7 Kirill Müller, 8 months ago
#> -------------------
#> # C++ Interface to PostgreSQL
#> Fully DBI-compliant C++-backed interface to PostgreSQL
#> <https://www.postgresql.org/>, an open-source relational database.
#> https://rpostgres.r-dbi.org
#> https://github.com/r-dbi/RPostgres
#>
#> 6 RcppProgress @ 0.4.2 Karl Forner, 5 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
#>
#> 7 covr @ 3.6.4 Jim Hester, about a year ago
#> --------------
#> # Test Coverage for Packages
#> Track and report code coverage for your package and (optionally) upload the
#> results to a coverage service like 'Codecov' <https://about.codecov.io> or
#> 'Coveralls' <https://coveralls.io>. Code coverage is a measure of the amount
#> of code being exercised by a set of tests. It is an indirect measure of test
#> quality and completeness. This package is compatible with any testing
#> methodology or framework and tracks coverage of both R code and compiled
#> C/C++/FORTRAN code.
#> https://covr.r-lib.org
#> https://github.com/r-lib/covr
#>
#> 8 RcppThread @ 2.2.0 Thomas Nagler, 2 days ago
#> --------------------
#> # R-Friendly Threading in C++
#> Provides a C++11-style thread class and thread pool that can safely be
#> interrupted from R. See Nagler (2021) <doi:10.18637/jss.v097.c01>.
#> https://github.com/tnagler/RcppThread
#>
#> 9 inline @ 0.3.20 Dirk Eddelbuettel, 2 months 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
#>
#> 10 SnowballC @ 0.7.1 Milan Bouchet-Valat, 2 years 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
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" ----------------------------------------------- 180 packages in 0.01 seconds -
#> # package version by @ title
#> 1 100 googledrive 2.1.1 Jennifer Bryan 2y An Interface to Google Drive
#> 2 79 gargle 1.5.2 Jennifer Bryan 1y Utilities for Working with Goog...
#> 3 73 googleVis 0.7.3 Markus Gesmann 8M R Interface to Google Charts
#> 4 65 googleAuthR 2.0.2 Erik Grönroos 8M Authenticate and Create Google ...
#> 5 62 googlesheets4 1.1.1 Jennifer Bryan 2y Access Google Sheets using the ...
#> 6 59 bigrquery 1.5.1 Hadley Wickham 10M An Interface to Google's 'BigQu...
#> 7 51 googleCloudStorageR 0.7.0 Mark Edmondson 3y Interface with Google Cloud Sto...
#> 8 48 googlePolylines 0.8.5 David Cooley 3M Encoding Coordinates into 'Goog...
#> 9 48 cld2 1.2.5 Jeroen Ooms 3M Google's Compact Language Detec...
#> 10 47 gsheet 0.4.6 Max Conway 27d Download Google Sheets Using Ju...
more()
#> - "google" ----------------------------------------------- 180 packages in 0.01 seconds -
#> # package version by @ title
#> 11 34 V8 6.0.0 Jeroen Ooms 3M Embedded JavaScript and WebAss...
#> 12 32 cld3 1.6.1 Jeroen Ooms 3M Google's Compact Language Dete...
#> 13 30 tensorflow 2.16.0 Tomasz Kalinowski 9M R Interface to 'TensorFlow'
#> 14 28 googleAnalyticsR 1.2.0 Erik Grönroos 5M Google Analytics API into R
#> 15 26 gfonts 0.2.0 Victor Perrier 2y Offline 'Google' Fonts for 'Ma...
#> 16 26 re2 0.1.3 Girish Palya 1y R Interface to Google RE2 (C++...
#> 17 25 gtrendsR 1.5.1 Philippe Massicotte 3y Perform and Display Google Tre...
#> 18 25 googleway 2.7.8 David Cooley 1y Accesses Google Maps APIs to R...
#> 19 24 scholar 0.2.4 Guangchuang Yu 2y Analyse Citation Data from Goo...
#> 20 23 googletraffic 0.1.7 Robert Marty 4M Google Traffic
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" ---------------------------------------------- 350 packages in 0.009 seconds -
#> # package version by @ title
#> 1 100 crayon 1.5.3 Gábor Csárdi 7M Colored Terminal Output
#> 2 66 viridis 0.6.5 Simon Garnier 1y Colorblind-Friendly Color Maps for R
#> 3 63 colorspace 2.1.1 Achim Zeileis 6M A Toolbox for Manipulating and Assessing ...
ps("colours", size = 3)
#> - "colours" --------------------------------------------- 348 packages in 0.008 seconds -
#> # package version by @ title
#> 1 100 crayon 1.5.3 Gábor Csárdi 7M Colored Terminal Output
#> 2 66 viridis 0.6.5 Simon Garnier 1y Colorblind-Friendly Color Maps for R
#> 3 63 colorspace 2.1.1 Achim Zeileis 6M A Toolbox for Manipulating and Assessing ...
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 18395. crayon 378 731247
#> 2 12138. viridis 230 165727
#> 3 11601. colorspace 210 732566
#> 4 10605. pillar 126 876646
#> 5 7653. viridisLite 106 678701
#> 6 7293. colourpicker 55 20121
#> 7 5654. ggnewscale 50 26278
#> 8 4692. shape 35 140417
#> 9 4671. RColorBrewer 646 686954
#> 10 4122. colorRamps 19 3593
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" ----------------------------------- 2694 packages in 0.017 seconds -
#> # package version by @ title
#> 1 100 coin 1.4.3 Torsten Hothorn 1y Conditional Inference Proc...
#> 2 35 perm 1.0.0.4 Michael P. Fay 1y Exact or Asymptotic Permut...
#> 3 32 exactRankTests 0.8.35 Torsten Hothorn 3y Exact Distributions for Ra...
#> 4 31 lmPerm 2.1.0 Marco Torchiano 8y Permutation Tests for Line...
#> 5 29 flip 2.5.0 Livio Finos 6y Multivariate Permutation T...
#> 6 22 jmuOutlier 2.2 Steven T. Garren 5y Permutation Tests for Nonp...
#> 7 22 nptest 1.1 Nathaniel E. Helwig 2y Nonparametric Bootstrap an...
#> 8 19 phyloseqGraphTest 0.1.1 Julia Fukuyama 1y Graph-Based Permutation Te...
#> 9 19 wPerm 1.0.1 Neil A. Weiss 9y Permutation Tests
#> 10 17 cpt 1.0.2 Johann Gagnon-Bartsch 6y Classification Permutation...
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" ------------------------------------------ 7460 packages in 0.038 seconds -
#> # package version by @ title
#> 1 100 httptest 4.2.2 Neal Richardson 1y A Test Environment for HTTP Requests
#> 2 72 covr 3.6.4 Jim Hester 1y Test Coverage for Packages
#> 3 51 webfakes 1.3.1 Gábor Csárdi 9M Fake Web Apps for HTTP Testing
#> 4 16 testthat 3.2.2 Hadley Wickham 1M Unit Testing for R
#> 5 13 psych 2.4.12 William Revelle 17d Procedures for Psychological, Psychome...
#> 6 12 vcr 1.6.0 Scott Chamberlain 6M Record 'HTTP' Calls to Disk
#> 7 8 httr 1.4.7 Hadley Wickham 1y Tools for Working with URLs and HTTP
#> 8 7 webmockr 1.0.0 Scott Chamberlain 6M Stubbing and Setting Expectations on '...
#> 9 6 rmarkdown 2.29 Yihui Xie 2M Dynamic Documents for R
#> 10 6 knitr 1.49 Yihui Xie 2M A General-Purpose Package for Dynamic ...
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" ---------------------------------------------- 350 packages in 0.013 seconds -
#> # package version by @ title
#> 1 100 crayon 1.5.3 Gábor Csárdi 7M Colored Terminal Output
#> 2 66 viridis 0.6.5 Simon Garnier 1y Colorblind-Friendly Color Maps for R
#> 3 63 colorspace 2.1.1 Achim Zeileis 6M A Toolbox for Manipulating and Asses...
#> 4 58 pillar 1.10.1 Kirill Müller 2d Coloured Formatting for Columns
#> 5 42 viridisLite 0.4.2 Simon Garnier 2y Colorblind-Friendly Color Maps (Lite...
#> 6 40 colourpicker 1.3.0 Dean Attali 1y A Colour Picker Tool for Shiny and f...
#> 7 31 ggnewscale 0.5.0 Elio Campitelli 6M Multiple Fill and Colour Scales in '...
#> 8 26 shape 1.4.6.1 Karline Soetaert 11M Functions for Plotting Graphical Sha...
#> 9 25 RColorBrewer 1.1.3 Erich Neuwirth 3y ColorBrewer Palettes
#> 10 22 colorRamps 2.3.4 Gregory Jefferis 10M Builds Color Tables
ps("color")
#> - "color" ----------------------------------------------- 349 packages in 0.006 seconds -
#> # package version by @ title
#> 1 100 crayon 1.5.3 Gábor Csárdi 7M Colored Terminal Output
#> 2 66 viridis 0.6.5 Simon Garnier 1y Colorblind-Friendly Color Maps for R
#> 3 63 colorspace 2.1.1 Achim Zeileis 6M A Toolbox for Manipulating and Asses...
#> 4 58 pillar 1.10.1 Kirill Müller 2d Coloured Formatting for Columns
#> 5 42 viridisLite 0.4.2 Simon Garnier 2y Colorblind-Friendly Color Maps (Lite...
#> 6 40 colourpicker 1.3.0 Dean Attali 1y A Colour Picker Tool for Shiny and f...
#> 7 31 ggnewscale 0.5.0 Elio Campitelli 6M Multiple Fill and Colour Scales in '...
#> 8 26 shape 1.4.6.1 Karline Soetaert 11M Functions for Plotting Graphical Sha...
#> 9 25 RColorBrewer 1.1.3 Erich Neuwirth 3y ColorBrewer Palettes
#> 10 22 colorRamps 2.3.4 Gregory Jefferis 10M Builds Color Tables
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" ----------------------------------------------- 108 packages in 0.005 seconds -
#> # package version by @ title
#> 1 100 cli 3.6.3 Gábor Csárdi 7M Helpers for Developing Command Line Interfaces
#> 2 66 crayon 1.5.3 Gábor Csárdi 7M Colored Terminal Output
#> 3 56 fs 1.6.5 Gábor Csárdi 2M Cross-Platform File System Operations Based...
#> 4 56 progress 1.2.3 Gábor Csárdi 1y Terminal Progress Bars
#> 5 46 zoo 1.8.12 Achim Zeileis 2y S3 Infrastructure for Regular and Irregular...
ps("Gábor", size = 5)
#> - "Gábor" ----------------------------------------------- 108 packages in 0.005 seconds -
#> # package version by @ title
#> 1 100 cli 3.6.3 Gábor Csárdi 7M Helpers for Developing Command Line Interfaces
#> 2 66 crayon 1.5.3 Gábor Csárdi 7M Colored Terminal Output
#> 3 56 fs 1.6.5 Gábor Csárdi 2M Cross-Platform File System Operations Based...
#> 4 56 progress 1.2.3 Gábor Csárdi 1y Terminal Progress Bars
#> 5 46 zoo 1.8.12 Achim Zeileis 2y S3 Infrastructure for Regular and Irregular...
timeout
: pkgsearch follows thetimeout
options for HTTP requests (i.e. forpkg_search()
andadvanced_search()
.timeout
is the limit for the total time of the HTTP request, and it is in seconds. See?options
for details.
See the complete documentation.
MIT @ Gábor Csárdi, RStudio, R Consortium.