I have to install the rjson
package in R and looking at the CRAN page that deals with the package I saw that rjson
has different dependencies:
Reverse depends: couchDB, df2json, edeR, gooJSON, indicoio, kintone, notifyR, RDSTK, Rfacebook, rJython, Rlabkey, rPlant, RYoudaoTranslate, SmarterPoland, sotkanet, source.gist, Storm, streamR, tibbrConnector, zendeskR;
Reverse imports: AntWeb, argparse, BerlinData, blsAPI, Causata, d3Network, db.r, geonames, GetoptLong, ggmap, h2o, helsinki, james.analysis, meteoForecast, mpoly, networkD3, ngramr, nhlscrapr, OpasnetUtils, OutbreakTools, paleobioDB, RAdwords, rbefdata, rClinicalCodes, rfisheries, rglobi, RIGHT, rnrfa, solr, StereoMorph, structSSI, twitteR, vdmR, yhatr;
Reverse suggests: fuzzyMM, GSIF, installr, mlr, plotKML, rsnps, sorvi, trajectories;
What is the difference among them and do I have to install all of them to use the rjson
package?
These are reverse dependencies, that is these packages depend on rjson
.
You do not have to install these in order to use rjson
.
Looking at the DESCRIPTION file (this is where the dependencies are stated) you see only:
Depends: R (>= 3.1.0)
So rjson
package needs only R newer or equal than 3.1.0 to run.
Just as EDi has stated, the list states packages that depend on rjson. I think kintone has been knocked off the list, since the cloud service itself is not dependent on rjson. The R SDK for kintone though, is dependent on rjson, as shown in the README of the GitHub page.
So in this case, if I wanted to run kintone's APIs using this R SDK, I would also need the rjson package for it to work properly.
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