CRAN Package Check Results for Package remify

Last updated on 2026-06-08 02:51:25 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 4.0.0 81.64 57.98 139.62 OK
r-devel-linux-x86_64-debian-gcc 4.0.0 62.47 42.33 104.80 ERROR
r-devel-linux-x86_64-fedora-clang 4.0.0 88.00 91.41 179.41 OK
r-devel-linux-x86_64-fedora-gcc 4.0.0 156.00 102.02 258.02 OK
r-devel-windows-x86_64 4.0.0 78.00 114.00 192.00 OK
r-patched-linux-x86_64 4.0.0 79.92 54.16 134.08 OK
r-release-linux-x86_64 4.0.0 84.09 54.46 138.55 OK
r-release-macos-arm64 4.0.0 15.00 19.00 34.00 OK
r-release-macos-x86_64 4.0.0 43.00 83.00 126.00 OK
r-release-windows-x86_64 4.0.0 81.00 109.00 190.00 OK
r-oldrel-macos-arm64 4.0.0 13.00 20.00 33.00 OK
r-oldrel-macos-x86_64 4.0.0 40.00 147.00 187.00 OK
r-oldrel-windows-x86_64 4.0.0 95.00 138.00 233.00 OK

Check Details

Version: 4.0.0
Check: examples
Result: ERROR Running examples in ‘remify-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: remify > ### Title: Process a Relational Event History > ### Aliases: remify > > ### ** Examples > > > # load package and random network 'randomREH' > library(remify) > data(randomREH) > > # first events in the sequence > head(randomREH$edgelist) time actor1 actor2 type 1 2020-03-05 02:47:08 Kayla Kiffani competition 2 2020-03-05 02:50:18 Colton Justin conflict 3 2020-03-05 03:30:26 Kelsey Maya cooperation 4 2020-03-05 03:38:50 Alexander Colton competition 5 2020-03-05 03:56:16 Wyatt Kelsey conflict 6 2020-03-05 04:06:45 Derek Breanna competition > > # actor's names > randomREH$actors [1] "Crystal" "Colton" "Lexy" "Kelsey" "Michaela" "Zackary" [7] "Richard" "Maya" "Wyatt" "Kiffani" "Alexander" "Kayla" [13] "Derek" "Justin" "Andrey" "Francesca" "Megan" "Mckenna" [19] "Charles" "Breanna" > > # event type's names > randomREH$types [1] "conflict" "competition" "cooperation" > > # start time of the study (origin) > randomREH$origin [1] "2020-03-05 02:32:53 CET" > > # list of changes of the risk set: each one is a list of: > # 'time' (indicating the time window where to apply the risk set reduction) > # 'dyad' (a data.frame describing the dyads to remove from the risk set > # during the time window specified in 'time') > str(randomREH$omit_dyad) List of 2 $ :List of 2 ..$ time: POSIXct[1:2], format: "2020-05-07 22:42:38" "2020-05-23 23:46:41" ..$ dyad:'data.frame': 1 obs. of 3 variables: .. ..$ actor1: logi NA .. ..$ actor2: logi NA .. ..$ type : chr "conflict" $ :List of 2 ..$ time: POSIXct[1:2], format: "2020-05-20 01:30:09" "2020-05-23 23:46:41" ..$ dyad:'data.frame': 4 obs. of 3 variables: .. ..$ actor1: chr [1:4] "Michaela" NA "Zackary" NA .. ..$ actor2: chr [1:4] NA "Michaela" NA "Zackary" .. ..$ type : logi [1:4] NA NA NA NA > > # -------------------------------------- # > # processing for tie-oriented modeling # > # -------------------------------------- # > > tie_randomREH <- remify(edgelist = randomREH$edgelist, + directed = TRUE, + ordinal = FALSE, + model = "tie", + origin = randomREH$origin) > > # summary > summary(tie_randomREH) Relational Event Network (processed for tie-oriented modeling): > events = 9915 > actors = 20 > (event) types = 3 > riskset = full >> included dyads = 380 >> extend_riskset_by_type = FALSE > directed = TRUE > ordinal = FALSE > weighted = FALSE > time length ~ 114974 > interevent time >> minimum ~ 0 >> maximum ~ 96.8567 > > # visualize descriptive measures of relational event data > plot(x = tie_randomREH) > > # -------------------------------------- # > # processing for actor-oriented modeling # > # -------------------------------------- # > > # loading network 'randomREHsmall' > data(randomREHsmall) > > # processing small random network > actor_randomREH <- remify(edgelist = randomREHsmall$edgelist, + directed = TRUE, + ordinal = FALSE, + model = "actor", + actors = randomREHsmall$actors, + origin = randomREHsmall$origin) > > # summary > summary(actor_randomREH) Relational Event Network (processed for actor-oriented modeling): > events = 586 > actors = 5 > (event) types = 1 > riskset = full > sender model riskset: 5 / 5 actors > receiver model riskset: 4 receivers per sender > directed = TRUE > ordinal = FALSE > weighted = FALSE > time length ~ 1916 > interevent time >> minimum ~ 0.0117 >> maximum ~ 23.863 > > # visualize > plot(actor_randomREH) Fatal error: creating temporary file for '-e' failed Error in makePSOCKcluster(names = spec, ...) : Cluster setup failed. 1 worker of 1 failed to connect. Calls: plot -> plot.remify -> <Anonymous> -> makePSOCKcluster Execution halted Flavor: r-devel-linux-x86_64-debian-gcc