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This page was generated on 2025-09-01 11:42 -0400 (Mon, 01 Sep 2025).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo1Linux (Ubuntu 24.04.3 LTS)x86_644.5.1 (2025-06-13) -- "Great Square Root" 4824
merida1macOS 12.7.5 Montereyx86_644.5.1 RC (2025-06-05 r88288) -- "Great Square Root" 4606
kjohnson1macOS 13.6.6 Venturaarm644.5.1 Patched (2025-06-14 r88325) -- "Great Square Root" 4547
kunpeng2Linux (openEuler 24.03 LTS)aarch64R Under development (unstable) (2025-02-19 r87757) -- "Unsuffered Consequences" 4579
Click on any hostname to see more info about the system (e.g. compilers)      (*) as reported by 'uname -p', except on Windows and Mac OS X

Package 1040/2341HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
immunoClust 1.40.0  (landing page)
Till Soerensen
Snapshot Date: 2025-08-28 13:40 -0400 (Thu, 28 Aug 2025)
git_url: https://git.bioconductor.org/packages/immunoClust
git_branch: RELEASE_3_21
git_last_commit: c20d14f
git_last_commit_date: 2025-04-15 10:48:52 -0400 (Tue, 15 Apr 2025)
nebbiolo1Linux (Ubuntu 24.04.3 LTS) / x86_64  OK    OK    OK  UNNEEDED, same version is already published
merida1macOS 12.7.5 Monterey / x86_64  OK    OK    OK    OK  UNNEEDED, same version is already published
kjohnson1macOS 13.6.6 Ventura / arm64  OK    OK    OK    OK  UNNEEDED, same version is already published
kunpeng2Linux (openEuler 24.03 LTS) / aarch64  OK    ERROR  skipped


BUILD results for immunoClust on kunpeng2

To the developers/maintainers of the immunoClust package:
- Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/immunoClust.git to reflect on this report. See Troubleshooting Build Report for more information.
- Use the following Renviron settings to reproduce errors and warnings.
- If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information.
- See Martin Grigorov's blog post for how to debug Linux ARM64 related issues on a x86_64 host.

raw results


Summary

Package: immunoClust
Version: 1.40.0
Command: /home/biocbuild/R/R/bin/R CMD build --keep-empty-dirs --no-resave-data immunoClust
StartedAt: 2025-08-29 01:38:47 -0000 (Fri, 29 Aug 2025)
EndedAt: 2025-08-29 01:42:45 -0000 (Fri, 29 Aug 2025)
EllapsedTime: 238.1 seconds
RetCode: 1
Status:   ERROR  
PackageFile: None
PackageFileSize: NA

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/R/R/bin/R CMD build --keep-empty-dirs --no-resave-data immunoClust
###
##############################################################################
##############################################################################


* checking for file ‘immunoClust/DESCRIPTION’ ... OK
* preparing ‘immunoClust’:
* checking DESCRIPTION meta-information ... OK
* cleaning src
* running ‘cleanup’
* installing the package to build vignettes
* creating vignettes ... ERROR
--- re-building ‘immunoClust.Rnw’ using Sweave
Loading required package: flowCore
filtered from above:318
filtered from below:0

cluster 1(N=151) has 2 sub-cluster at 2 (6), ICL=148<>26
split 1 into 2 clusters
cluster 1(N=151) has 2 sub-cluster at 2 (6), ICL=0<>26
Model Refinement takes 0.017 mins(max 1: 0.017)
Fit Model 1 of (6/10) K=1->2 N=302
EM 2 takes 0 mins, 27 iterations

cluster 2(N=78) has 3 sub-cluster at 3 (6), ICL=87<>30
split 2 into 3 clusters
cluster 1(N=224) has 2 sub-cluster at 2 (8), ICL=29<>30
cluster 1(N=224) has 2 sub-cluster at 2 (8), ICL=0<>30
Model Refinement takes 0.05 mins(max 1: 0.033)
Fit Model 2 of (6/10) K=2->4 N=605
EM 4 takes 0 mins, 8 iterations

cluster 1(N=454) has 2 sub-cluster at 2 (6), ICL=110<>34
split 1 into 2 clusters
cluster 4(N=75) has 2 sub-cluster at 2 (100), ICL=56<>34
split 4 into 2 clusters
cluster 2(N=54) has 4 sub-cluster at 4 (4), ICL=19<>34
cluster 3(N=22) has 2 sub-cluster at 2 (14), ICL=17<>34
cluster 1(N=454) has 2 sub-cluster at 2 (6), ICL=0<>34
Model Refinement takes 0.05 mins(max 1: 0.033)
Fit Model 3 of (6/10) K=4->6 N=1210
EM 5 takes 0 mins, 8 iterations

cluster 2(N=126) has 2 sub-cluster at 2 (7), ICL=82<>37
split 2 into 2 clusters
cluster 3(N=117) has 2 sub-cluster at 2 (6), ICL=28<>37
cluster 4(N=54) has 3 sub-cluster at 3 (28), ICL=24<>37
cluster 5(N=141) has 4 sub-cluster at 5 (50), ICL=19<>37
cluster 2(N=126) has 2 sub-cluster at 2 (7), ICL=0<>37
Model Refinement takes 0.1 mins(max 1: 0.033)
Fit Model 4 of (6/10) K=5->6 N=2420
EM 6 takes 0 mins, 8 iterations

cluster 3(N=113) has 2 sub-cluster at 2 (7), ICL=66<>41
split 3 into 2 clusters
cluster 4(N=249) has 2 sub-cluster at 2 (7), ICL=43<>41
split 4 into 2 clusters
cluster 6(N=272) has 2 sub-cluster at 2 (6), ICL=33<>41
cluster 2(N=137) has 3 sub-cluster at 3 (17), ICL=19<>41
cluster 5(N=94) has 3 sub-cluster at 3 (21), ICL=19<>41
cluster 2(N=137) has 3 sub-cluster at 3 (17), ICL=0<>41
Model Refinement takes 0.18 mins(max 1: 0.067)
Fit Model 5 of (6/10) K=6->8 N=4841
EM 8 takes 0 mins, 7 iterations

cluster 4(N=111) has 2 sub-cluster at 2 (6), ICL=72<>45
split 4 into 2 clusters
cluster 7(N=204) has 2 sub-cluster at 2 (9), ICL=38<>45
cluster 2(N=269) has 3 sub-cluster at 3 (6), ICL=29<>45
cluster 8(N=572) has 2 sub-cluster at 2 (7), ICL=21<>45
cluster 5(N=473) has 3 sub-cluster at 3 (38), ICL=17<>45
cluster 6(N=26) has 2 sub-cluster at 2 (5), ICL=14<>45
cluster 3(N=159) has 6 sub-cluster at 7 (36), ICL=8<>45
cluster 2(N=269) has 3 sub-cluster at 3 (6), ICL=0<>45
Model Refinement takes 0.25 mins(max 1: 0.083)
Fit Model 6 of (6/10) K=8->9 N=9682
EM 9 takes 0.017 mins, 6 iterations

cluster 2(N=556) has 3 sub-cluster at 3 (11), ICL=66<>48
split 2 into 3 clusters
cluster 9(N=1121) has 2 sub-cluster at 2 (9), ICL=49<>48
split 9 into 2 clusters
cluster 5(N=153) has 4 sub-cluster at 4 (17), ICL=42<>48
cluster 8(N=392) has 3 sub-cluster at 3 (34), ICL=38<>48
cluster 7(N=60) has 2 sub-cluster at 2 (13), ICL=31<>48
cluster 6(N=908) has 3 sub-cluster at 3 (12), ICL=29<>48
cluster 4(N=75) has 2 sub-cluster at 3 (6), ICL=0.024<>48
cluster 2(N=556) has 3 sub-cluster at 3 (11), ICL=0<>48
Model Refinement takes 0.3 mins(max 1: 0.083)
Fit Model 7 of (6/10) K=9->12 N=9682
EM 12 takes 0 mins, 7 iterations

cluster 10(N=391) has 2 sub-cluster at 2 (8), ICL=37<>48
cluster 9(N=60) has 2 sub-cluster at 2 (9), ICL=30<>48
cluster 8(N=898) has 3 sub-cluster at 3 (9), ICL=29<>48
cluster 7(N=122) has 3 sub-cluster at 3 (28), ICL=26<>48
cluster 12(N=425) has 2 sub-cluster at 2 (6), ICL=19<>48
cluster 4(N=88) has 2 sub-cluster at 2 (7), ICL=18<>48
cluster 2(N=362) has 2 sub-cluster at 2 (7), ICL=12<>48
cluster 5(N=309) has 2 sub-cluster at 2 (8), ICL=6.3<>48
cluster 3(N=174) has 6 sub-cluster at 7 (36), ICL=5.6<>48
cluster 6(N=75) has 3 sub-cluster at 4 (12), ICL=4.1<>48
cluster 2(N=362) has 2 sub-cluster at 2 (7), ICL=0<>48
Model Refinement takes 0.37 mins(max 1: 0.1)
Fit Model 8 of (6/10) K=12->12 N=9682
EM 12 takes 0 mins, 3 iterations

Process completed at8

Major Iteration (Trans) (6/4) takes 1.4 mins
filtered from above:318
filtered from below:0

cluster 1(N=151) has 2 sub-cluster at 2 (7), ICL=109<>22
split 1 into 2 clusters
cluster 1(N=151) has 2 sub-cluster at 2 (7), ICL=0<>22
Model Refinement takes 0.017 mins(max 1: 0.017)
Fit Model 1 of (6/10) K=1->2 N=302
EM 2 takes 0 mins, 20 iterations

cluster 1(N=89) has 3 sub-cluster at 3 (8), ICL=99<>25
split 1 into 3 clusters
cluster 2(N=213) has 2 sub-cluster at 2 (9), ICL=52<>25
split 2 into 2 clusters
cluster 1(N=89) has 3 sub-cluster at 3 (8), ICL=0<>25
Model Refinement takes 0.033 mins(max 2: 0.033)
Fit Model 2 of (6/10) K=2->5 N=605
EM 5 takes 0 mins, 11 iterations

cluster 2(N=67) has 2 sub-cluster at 2 (19), ICL=43<>28
split 2 into 2 clusters
cluster 5(N=23) has 2 sub-cluster at 2 (6), ICL=26<>28
cluster 3(N=50) has 4 sub-cluster at 4 (15), ICL=25<>28
cluster 1(N=69) has 5 sub-cluster at 5 (16), ICL=16<>28
cluster 4(N=401) has 8 sub-cluster at 8 (28), ICL=5.5<>28
cluster 1(N=69) has 5 sub-cluster at 5 (16), ICL=0<>28
Model Refinement takes 0.083 mins(max 4: 0.033)
Fit Model 3 of (6/10) K=5->6 N=1210
EM 6 takes 0 mins, 11 iterations

cluster 6(N=57) has 3 sub-cluster at 3 (8), ICL=50<>31
split 6 into 3 clusters
cluster 2(N=60) has 4 sub-cluster at 4 (11), ICL=20<>31
cluster 1(N=139) has 7 sub-cluster at 7 (53), ICL=17<>31
cluster 3(N=46) has 4 sub-cluster at 4 (10), ICL=15<>31
cluster 4(N=107) has 6 sub-cluster at 6 (30), ICL=15<>31
cluster 1(N=139) has 7 sub-cluster at 7 (53), ICL=0<>31
Model Refinement takes 0.12 mins(max 1: 0.033)
Fit Model 4 of (6/10) K=6->8 N=2420
EM 8 takes 0.017 mins, 9 iterations

cluster 6(N=103) has 2 sub-cluster at 2 (12), ICL=54<>34
split 6 into 2 clusters
cluster 3(N=99) has 7 sub-cluster at 7 (35), ICL=34<>34
cluster 2(N=131) has 6 sub-cluster at 6 (40), ICL=18<>34
cluster 4(N=233) has 7 sub-cluster at 8 (27), ICL=17<>34
cluster 1(N=282) has 7 sub-cluster at 8 (34), ICL=14<>34
cluster 8(N=11) has 2 sub-cluster at 2 (100), ICL=2.9<>34
cluster 7(N=9) has 2 sub-cluster at 2 (3), ICL=2.7<>34
cluster 1(N=282) has 7 sub-cluster at 8 (34), ICL=0<>34
Model Refinement takes 0.18 mins(max 5: 0.083)
Fit Model 5 of (6/10) K=8->9 N=4841
EM 9 takes 0 mins, 9 iterations

cluster 7(N=76) has 4 sub-cluster at 4 (94), ICL=66<>37
split 7 into 4 clusters
cluster 2(N=290) has 5 sub-cluster at 5 (24), ICL=43<>37
split 2 into 5 clusters
cluster 4(N=465) has 3 sub-cluster at 3 (37), ICL=39<>37
split 4 into 3 clusters
cluster 3(N=203) has 2 sub-cluster at 2 (9), ICL=26<>37
cluster 1(N=555) has 2 sub-cluster at 2 (20), ICL=19<>37
cluster 9(N=22) has 2 sub-cluster at 2 (7), ICL=13<>37
cluster 6(N=157) has 4 sub-cluster at 5 (31), ICL=11<>37
cluster 8(N=38) has 2 sub-cluster at 3 (21), ICL=9.8<>37
cluster 1(N=555) has 2 sub-cluster at 2 (20), ICL=0<>37
Model Refinement takes 0.25 mins(max 5: 0.083)
Fit Model 6 of (6/10) K=9->18 N=9682
EM 17 takes 0.033 mins, 21 iterations

cluster 6(N=391) has 2 sub-cluster at 2 (8), ICL=40<>40
cluster 15(N=292) has 2 sub-cluster at 2 (11), ICL=23<>40
cluster 3(N=204) has 4 sub-cluster at 5 (39), ICL=22<>40
cluster 12(N=90) has 5 sub-cluster at 5 (30), ICL=20<>40
cluster 5(N=147) has 5 sub-cluster at 6 (50), ICL=19<>40
cluster 2(N=116) has 3 sub-cluster at 3 (17), ICL=13<>40
cluster 16(N=75) has 3 sub-cluster at 4 (12), ICL=6.7<>40
cluster 9(N=16) has 2 sub-cluster at 2 (59), ICL=6.7<>40
cluster 7(N=395) has 7 sub-cluster at 8 (49), ICL=5.4<>40
cluster 11(N=311) has 7 sub-cluster at 8 (27), ICL=3.2<>40
cluster 14(N=21) has 2 sub-cluster at 2 (6), ICL=2.9<>40
cluster 4(N=226) has 4 sub-cluster at 6 (13), ICL=0.42<>40
cluster 2(N=116) has 3 sub-cluster at 3 (17), ICL=0<>40
Model Refinement takes 0.43 mins(max 10: 0.1)
Fit Model 7 of (6/10) K=17->17 N=9682
EM 17 takes 0 mins, 3 iterations

cluster 17(N=51) has 2 sub-cluster at 2 (100), ICL=40<>40
cluster 6(N=391) has 2 sub-cluster at 2 (8), ICL=40<>40
cluster 15(N=327) has 2 sub-cluster at 2 (18), ICL=26<>40
cluster 12(N=89) has 4 sub-cluster at 5 (27), ICL=21<>40
cluster 13(N=13) has 2 sub-cluster at 2 (100), ICL=18<>40
cluster 3(N=204) has 5 sub-cluster at 6 (21), ICL=17<>40
cluster 2(N=115) has 5 sub-cluster at 6 (29), ICL=15<>40
cluster 5(N=149) has 5 sub-cluster at 6 (47), ICL=11<>40
cluster 11(N=311) has 5 sub-cluster at 6 (57), ICL=10<>40
cluster 4(N=226) has 6 sub-cluster at 8 (36), ICL=9.4<>40
cluster 16(N=75) has 3 sub-cluster at 4 (10), ICL=6.6<>40
cluster 9(N=16) has 2 sub-cluster at 2 (100), ICL=6.6<>40
cluster 7(N=395) has 7 sub-cluster at 8 (50), ICL=5.4<>40
cluster 14(N=21) has 2 sub-cluster at 2 (6), ICL=2.8<>40
cluster 8(N=567) has 3 sub-cluster at 3 (29), ICL=0.56<>40
cluster 2(N=115) has 5 sub-cluster at 6 (29), ICL=0<>40
Model Refinement takes 0.42 mins(max 10: 0.083)
Fit Model 8 of (6/10) K=17->17 N=9682
EM 17 takes 0 mins, 3 iterations

Process completed at8

Major Iteration (Trans) (6/4) takes 1.6 mins
Fit Model 1 of 10 with 8 clusters
=> results in  8 clusters
Fit Model 2 of 10 with 21 clusters
=> results in  13 clusters
Fit Model 3 of 10 with 23 clusters
=> results in  19 clusters
Fit Model 4 of 10 with 26 clusters
=> results in  21 clusters
Fit Model 5 of 10 with 25 clusters
=> results in  21 clusters
Error: processing vignette 'immunoClust.Rnw' failed with diagnostics:
Running 'texi2dvi' on 'immunoClust.tex' failed.
LaTeX errors:
! LaTeX Error: File `inputenx.sty' not found.

Type X to quit or <RETURN> to proceed,
or enter new name. (Default extension: sty)

! Emergency stop.
<read *> 
         
l.15 ^^M
        
!  ==> Fatal error occurred, no output PDF file produced!
--- failed re-building ‘immunoClust.Rnw’

SUMMARY: processing the following file failed:
  ‘immunoClust.Rnw’

Error: Vignette re-building failed.
Execution halted