**RWsearch** stands for « Search in R packages, task
views, CRAN and in the Web ».

This vignette introduces the following features cited in the README file:

.12. Provide some **tools for task view maintenance**:
Detect the packages recently added to or updated in CRAN, check if they
match some keywords, check if they are already recorded in a given task
view.

.5. **Display the results as a list or as a table** in
the console or in the browser and save them as txt, md, html, tex or pdf
files.

Task views are an important part of CRAN as they help R users to find the packages that match their needs. Task view pages are maintained by volunteers who update the pages and upload them to CRAN with the package ctv.

**RWsearch** focuses on detecting the (old and new)
packages that could be added to the task views.

As a preliminary, all task views can be read on-line with the instruction:

**RWsearch** provides the functions
** tvdb_down()** and

`tvdb_load()`

`tv_vec()`

`tvdb_dfr()`

`tvdb_list()`

`tvdb_pkgs()`

In an empty directory, the two files *crandb.rda* and
*tvdb.rda*, which are cleaned versions of the files
*/web/packages/packages.rds* and */src/contrib/Views.rds*,
must be downloaded from CRAN. Once downloaded, the files are
automatically loaded with names ** crandb** (a
data.frame) and

```
crandb_down()
# $newfile
# [1] "crandb.rda saved and loaded. 17672 packages listed between 2006-03-15 and 2021-06-02"
tvdb_down()
# [1] "tvdb.rda saved. tvdb loaded. 41 task views listed between 2015-01-07 and 2021-06-02"
ls()
# [1] "crandb" "tvdb"
```

If the files already exist in one specific directory, they can be loaded. Here are the numbers for June 2021. We recall the numbers of a previous vignette written in February 2019:

```
crandb_load(filename = "crandb-2021-0602.rda")
# "crandb.rda saved and loaded. 17672 packages listed between 2006-03-15 and 2021-06-02"
# "crandb.rda saved and loaded. 13752 packages listed between 2006-03-15 and 2019-02-25"
tvdb_load(filename = "tvdb-2021-0602.rda")
# tvdb loaded. 41 task views listed between 2015-01-07 and 2021-06-02
# tvdb loaded. 39 task views listed between 2015-01-07 and 2019-02-25
```

Functions ** tv_vec()** and

`tvdb_dfr()`

There were 39 task views in February 2019 and 41 task views in June
2021. The latest two task views are *TeachingStatistics* and
*Tracking*. The largest task view is *Time Series* with
326 referred packages, up from 273 in February 2019. Many task views are
maintained a minima and list less packages than in February 2019 due to
packages archived by CRAN. Task views need to be reconsidered.

```
tvdb_vec()
# [1] "Bayesian" "ChemPhys" "ClinicalTrials"
# [4] "Cluster" "Databases" "DifferentialEquations"
# [7] "Distributions" "Econometrics" "Environmetrics"
# [10] "ExperimentalDesign" "ExtremeValue" "Finance"
# [13] "FunctionalData" "Genetics" "gR"
# [16] "Graphics" "HighPerformanceComputing" "Hydrology"
# [19] "MachineLearning" "MedicalImaging" "MetaAnalysis"
# [22] "MissingData" "ModelDeployment" "Multivariate"
# [25] "NaturalLanguageProcessing" "NumericalMathematics" "OfficialStatistics"
# [28] "Optimization" "Pharmacokinetics" "Phylogenetics"
# [31] "Psychometrics" "ReproducibleResearch" "Robust"
# [34] "SocialSciences" "Spatial" "SpatioTemporal"
# [37] "Survival" "TeachingStatistics" "TimeSeries"
# [40] "Tracking" "WebTechnologies"
>
```

```
tvdb_dfr()
# version npkgs name topic (npkgs in February 2019)
# 1 2021-05-19 138 Bayesian Bayesian Inference (131)
# 2 2021-02-06 81 ChemPhys Chemometrics and Computational Physics (81)
# 3 2021-03-05 61 ClinicalTrials Clinical Trial Design, Monitoring, and Analysis (51)
# 4 2021-05-11 106 Cluster Cluster Analysis & Finite Mixture Models (111)
# 5 2020-08-02 37 Databases Databases with R (38)
# 6 2021-05-27 28 DifferentialEquations Differential Equations (29)
# 7 2021-05-28 252 Distributions Probability Distributions (208)
# 8 2021-05-23 144 Econometrics Econometrics (139)
# 9 2021-02-16 94 Environmetrics Analysis of Ecological and Environmental Data (104)
# 10 2021-02-25 112 ExperimentalDesign Design of Experiments (DoE) & Analysis of Experimental Data (124)
# 11 2020-02-20 24 ExtremeValue Extreme Value Analysis (24)
# 12 2021-05-05 156 Finance Empirical Finance (154)
# 13 2020-09-08 40 FunctionalData Functional Data Analysis (40)
# 14 2021-02-25 22 Genetics Statistical Genetics (26)
# 15 2020-08-04 34 gR gRaphical Models in R (35)
# 16 2015-01-07 40 Graphics Graphic Displays & Dynamic Graphics & Graphic Devices & Visualization (41)
# 17 2021-05-27 92 HighPerformanceComputing High-Performance and Parallel Computing with R (97)
# 18 2021-05-25 98 Hydrology Hydrological Data and Modeling (86)
# 19 2021-03-21 96 MachineLearning Machine Learning & Statistical Learning (102)
# 20 2020-12-16 23 MedicalImaging Medical Image Analysis (32)
# 21 2021-04-25 154 MetaAnalysis Meta-Analysis (104)
# 22 2021-04-29 164 MissingData Missing Data (142)
# 23 2020-05-26 32 ModelDeployment Model Deployment with R (31)
# 24 2021-03-01 111 Multivariate Multivariate Statistics (121)
# 25 2021-05-21 55 NaturalLanguageProcessing Natural Language Processing (55)
# 26 2021-05-05 115 NumericalMathematics Numerical Mathematics (96)
# 27 2021-05-25 132 OfficialStatistics Official Statistics & Survey Methodology (123)
# 28 2021-05-05 136 Optimization Optimization and Mathematical Programming (127)
# 29 2021-05-27 18 Pharmacokinetics Analysis of Pharmacokinetic Data (12)
# 30 2021-02-25 82 Phylogenetics Phylogenetics, Especially Comparative Methods (94)
# 31 2021-02-24 242 Psychometrics Psychometric Models and Methods (209)
# 32 2021-05-17 92 ReproducibleResearch Reproducible Research (59)
# 33 2021-05-28 58 Robust Robust Statistical Methods (60)
# 34 2020-12-11 78 SocialSciences Statistics for the Social Sciences (82)
# 35 2021-05-20 184 Spatial Analysis of Spatial Data (194)
# 36 2021-05-26 92 SpatioTemporal Handling and Analyzing Spatio-Temporal Data (65)
# 37 2021-05-28 251 Survival Survival Analysis (264)
# 38 2020-11-22 45 TeachingStatistics Teaching Statistics (NA)
# 39 2021-06-02 326 TimeSeries Time Series Analysis (273)
# 40 2021-05-26 49 Tracking Processing and Analysis of Tracking Data (NA)
# 41 2021-05-15 204 WebTechnologies Web Technologies and Services (247)
```

** tv_list()** lists all task view packages.

`tvdb_dfr()`

```
tvdb_list()
# $Bayesian
# [1] "abc" "abn" "AdMit" "arm" "AtelieR"
# ...
# [127] "spTimer" "ssgraph" "stochvol" "tgp" "zic"
# ...
# ...
# $WebTechnologies
# [1] "abbyyR" "ajv" "analogsea" "aRxiv" "aws.polly"
# ...
# [243] "xslt" "yhatr" "yummlyr" "zendeskR" "ZillowR"
```

```
tvdb_pkgs(ChemPhys, Distributions, Robust)
# $ChemPhys
# [1] "ALS" "AnalyzeFMRI" "AquaEnv" "astro"
# ...
# [89] "varSelRF" "webchem" "WilcoxCV"
#
# $Distributions
# [1] "actuar" "AdMit" "agricolae" "ald"
# ...
# [205] "visualize" "Wrapped" "zipfextR" "zipfR"
#
# $Robust
# [1] "cluster" "complmrob" "covRobust" "coxrobust" "distr"
# ...
# [56] "ssmrob" "tclust" "TEEReg" "walrus" "WRS2"
```

The largest task view has referred 326 packages (273 in February 2019). All task views have referred 4298 (4021) packages but only 3451 (3221) unique packages. This is 19.5 % (down from 23.4 % in 2019) of the total number of packages currently in CRAN. The task is immense if we want to refer all packages.

**RWsearch** focuses on detecting the (old and new)
packages that could be added to the task views.

Function ** s_crandb_tvdb()** combines many
functions of

The example presented below refers to the Distributions task view.

The output of ** s_crandb_tvdb()** is a list
with the following items:

**spkgs**: packages that match the keywords.**inTV**: packages that are already referred in the selected task view.**notinTV**: packages that are not (yet) referred in the task view.**inTV_in**: packages that are referred and installed in the computer.**inTV_un**: packages that are referred but not installed in the computer.**notinTV_in**: packages that are not referred and installed in the computer.**notinTV_un**: packages that are neither referred nor installed in the computer.

```
keywords <- cnsc(probability, distribution)
(lst <- s_crandb_tvdb(char = keywords, tv = "Distributions",
from = -15, to = "2019-02-25", select = "PT"))
# $spkgs
# [1] "distreg.vis" "GB2group" "ipcwswitch" "MixGHD" "MSPRT" "pgdraw"
# [7] "philentropy" "triangle"
# $inTV
# [1] "triangle"
# $notinTV
# [1] "distreg.vis" "GB2group" "ipcwswitch" "MixGHD" "MSPRT" "pgdraw"
# [7] "philentropy"
# $inTV_in
# character(0)
# $inTV_un
# [1] "triangle"
# $notinTV_in
# character(0)
# $notinTV_un
# [1] "distreg.vis" "GB2group" "ipcwswitch" "MixGHD" "MSPRT" "pgdraw"
# [7] "philentropy"
```

A first assesment of the packages that match the keywords can be done
with ** p_table2()**. Consider also

`p_display5()`

```
p_table2(lst$notinTV)
# Package Title
# 2766 distreg.vis Framework for the Visualization of Distributional Regression Models
# 4209 GB2group Estimation of the Generalised Beta Distribution of the Second Kind from Grouped Data
# 5592 ipcwswitch Inverse Probability of Censoring Weights to Deal with Treatment Switch in Randomized Clinical Trials
# 7072 MixGHD Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions
# 7404 MSPRT Modified Sequential Probability Ratio Test (MSPRT)
# 8613 pgdraw Generate Random Samples from the Polya-Gamma Distribution
# 8659 philentropy Similarity and Distance Quantification Between Probability Functions
```

From this list and the DESCRIPTION in the html page, packages
**GB2group**, **MixGHD**,
**pgdraw** and **philentropy** deserve further
exploration.

4 packages is a reasonnable number. We can open the
*CRAN/index.html* pages and *CRAN/manual.pdf* files in the
browser. Alternatively, consider downloading the documentation of these
packages.

```
pkgs <- cnsc(GB2group, MixGHD, pgdraw, philentropy)
p_page(char = pkgs)
## read the 4 html pages launched in your browser
p_pdfweb(char = pkgs)
## read the 4 pdf pages launched in your browser
p_down(char = pkgs)
## read the files saved in the current directory
```

The pdf files and the vignettes give all expected information:

**GB2group**uses the generalized beta distribution of the second kind inplemented in the**GB2**package which is already referred in the task view. There is no need to mention it.**MixGHD**implements three d,p,q,r functions:,`dpqrGHD()`

,`dpqrCGHD()`

. This package will be referred in the task view.`dpqrMSGHD()`

**pgdraw**generates random samples from the Polya-Gamma distribution by using a function in a non-standard format:rather than something like`pgdraw()`

. This is probably to avoid some duplicate with the`rpg()`

function provided by the`BayesLogit::rpg()`

*BayesLogit*package. Discussion is open.**Philentropy**does not include any d,p,q,r functions but calculates some distances between distributions. This is a connex topic with a special section in the task view. The package will be added to the task view.

For these packages, the quality of the d,p,q,r functions should be explored (but has not been yet).