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### Running command:
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###   /Library/Frameworks/R.framework/Resources/bin/R CMD build --keep-empty-dirs --no-resave-data TitanCNA
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* checking for file ‘TitanCNA/DESCRIPTION’ ... OK
* preparing ‘TitanCNA’:
* checking DESCRIPTION meta-information ... OK
* cleaning src
* installing the package to build vignettes
* creating vignettes ...sh: line 1: 87589 Segmentation fault: 11  '/Library/Frameworks/R.framework/Resources/bin/Rscript' --vanilla --default-packages= -e "tools::buildVignettes(dir = '.', tangle = TRUE)" > '/tmp/RtmpjCoCQZ/xshell140d03b6261c' 2>&1
 ERROR
--- re-building ‘TitanCNA.Rnw’ using Sweave
Warning: replacing previous import ‘GenomicRanges::shift’ by ‘data.table::shift’ when loading ‘TitanCNA’
Warning: replacing previous import ‘data.table::first’ by ‘dplyr::first’ when loading ‘TitanCNA’
Warning: replacing previous import ‘IRanges::desc’ by ‘dplyr::desc’ when loading ‘TitanCNA’
Warning: replacing previous import ‘BiocGenerics::setequal’ by ‘dplyr::setequal’ when loading ‘TitanCNA’
Warning: replacing previous import ‘IRanges::slice’ by ‘dplyr::slice’ when loading ‘TitanCNA’
Warning: replacing previous import ‘GenomicRanges::intersect’ by ‘dplyr::intersect’ when loading ‘TitanCNA’
Warning: replacing previous import ‘data.table::last’ by ‘dplyr::last’ when loading ‘TitanCNA’
Warning: replacing previous import ‘GenomicRanges::union’ by ‘dplyr::union’ when loading ‘TitanCNA’
Warning: replacing previous import ‘data.table::between’ by ‘dplyr::between’ when loading ‘TitanCNA’
Warning: replacing previous import ‘BiocGenerics::combine’ by ‘dplyr::combine’ when loading ‘TitanCNA’
Warning: replacing previous import ‘IRanges::collapse’ by ‘dplyr::collapse’ when loading ‘TitanCNA’
Warning: replacing previous import ‘GenomicRanges::setdiff’ by ‘dplyr::setdiff’ when loading ‘TitanCNA’
Warning: replacing previous import ‘dplyr::select’ by ‘VariantAnnotation::select’ when loading ‘TitanCNA’
Warning in fun(libname, pkgname) :
  Package 'TitanCNA' is deprecated and will be removed from Bioconductor
  version 3.23
titan: Loading data /private/tmp/RtmpjCoCQZ/Rinst140d02f3bb817/TitanCNA/extdata/test_alleleCounts_chr2.txt
Reading GC and mappability files
Slurping: /private/tmp/RtmpjCoCQZ/Rinst140d02f3bb817/TitanCNA/extdata/gc_chr2.wig
Parsing: fixedStep chrom=2 start=1 step=1000 span=1000
Sorting by decreasing chromosome size
Slurping: /private/tmp/RtmpjCoCQZ/Rinst140d02f3bb817/TitanCNA/extdata/map_chr2.wig
Parsing: fixedStep chrom=2 start=1 step=1000 span=1000
Sorting by decreasing chromosome size
Loading tumour file:/private/tmp/RtmpjCoCQZ/Rinst140d02f3bb817/TitanCNA/extdata/test_tum_chr2.wig
Slurping: /private/tmp/RtmpjCoCQZ/Rinst140d02f3bb817/TitanCNA/extdata/test_tum_chr2.wig
Parsing: fixedStep chrom=2 start=1 step=1000 span=1000
Sorting by decreasing chromosome size
Loading normal file:/private/tmp/RtmpjCoCQZ/Rinst140d02f3bb817/TitanCNA/extdata/test_norm_chr2.wig
Slurping: /private/tmp/RtmpjCoCQZ/Rinst140d02f3bb817/TitanCNA/extdata/test_norm_chr2.wig
Parsing: fixedStep chrom=2 start=1 step=1000 span=1000
Sorting by decreasing chromosome size
Warning in .replace_seqlevels_style(x_seqlevels, value) :
  found more than one best sequence renaming map compatible with seqname style "NCBI" for this object, using the first one
Warning in .replace_seqlevels_style(x_seqlevels, value) :
  found more than one best sequence renaming map compatible with seqname style "NCBI" for this object, using the first one
Warning in .replace_seqlevels_style(x_seqlevels, value) :
  found more than one best sequence renaming map compatible with seqname style "NCBI" for this object, using the first one
Warning in .replace_seqlevels_style(x_seqlevels, value) :
  found more than one best sequence renaming map compatible with seqname style "NCBI" for this object, using the first one
Correcting Tumour
Applying filter on data...
Correcting for GC bias...
Correcting for mappability bias...
Warning in regularize.values(x, y, ties, missing(ties), na.rm = na.rm) :
  collapsing to unique 'x' values
Correcting Normal
Applying filter on data...
Correcting for GC bias...
Correcting for mappability bias...
Warning in regularize.values(x, y, ties, missing(ties), na.rm = na.rm) :
  collapsing to unique 'x' values
Normalizing Tumour by Normal
Removed Chrs: 
titan: Running HMM...
fwdBack: Iteration 1 chr: Warning: executing %dopar% sequentially: no parallel backend registered
1 
Using Coordinate Descent iteration 11 with Fval=-30485 and n=0.3986 (map), s=[0.0083,0.3767], phi=1.501
fwdBack: loglik=-34146.8945
fwdBack: priorN=0.3634
fwdBack: priorS=-2.6662
fwdBack: priorVar=-438.4071
fwdBack: priorVarR=0.0000
fwdBack: priorPhi=-1.0979
fwdBack: priorPiG=60.3628
fwdBack: priorPiZ=0.9808
fwdBack: EM iteration 1 complete loglik=-34527.3586
fwdBack: Elapsed time for iteration 1: 0.0567m
fwdBack: Iteration 2 chr: 1 
Using Coordinate Descent iteration 11 with Fval=-26831 and n=0.2539 (map), s=[0.0091,0.4326], phi=1.467
fwdBack: loglik=-28979.1749
fwdBack: priorN=0.1281
fwdBack: priorS=-2.5270
fwdBack: priorVar=-749.7743
fwdBack: priorVarR=0.0000
fwdBack: priorPhi=-1.2632
fwdBack: priorPiG=60.3628
fwdBack: priorPiZ=0.9808
fwdBack: EM iteration 2 complete loglik=-29671.2676
fwdBack: Elapsed time for iteration 2: 0.0567m
fwdBack: Iteration 3 chr: 1 
Using Coordinate Descent iteration 11 with Fval=-26069 and n=0.2117 (map), s=[0.0069,0.4524], phi=1.482
fwdBack: loglik=-26343.8424
fwdBack: priorN=0.0013
fwdBack: priorS=-2.7990
fwdBack: priorVar=-819.7133
fwdBack: priorVarR=0.0000
fwdBack: priorPhi=-1.1885
fwdBack: priorPiG=60.3628
fwdBack: priorPiZ=0.9808
fwdBack: EM iteration 3 complete loglik=-27106.1983
fwdBack: Elapsed time for iteration 3: 0.0568m
fwdBack: Total elapsed time: 0.2713m
outputTitanResults: Correcting results...
outputTitanResults: Recomputing log-likelihood.
titan: Running HMM...
fwdBack: Iteration 1 chr: 1 
 *** caught segfault ***
address 0x1, cause 'memory not mapped'

Traceback:
 1: eval(xpr, envir = envir)
 2: eval(xpr, envir = envir)
 3: doTryCatch(return(expr), name, parentenv, handler)
 4: tryCatchOne(expr, names, parentenv, handlers[[1L]])
 5: tryCatchList(expr, classes, parentenv, handlers)
 6: tryCatch(eval(xpr, envir = envir), error = function(e) e)
 7: doTryCatch(return(expr), name, parentenv, handler)
 8: tryCatchOne(expr, names, parentenv, handlers[[1L]])
 9: tryCatchList(expr, classes, parentenv, handlers)
10: tryCatch({    repeat {        args <- nextElem(it)        if (obj$verbose) {            cat(sprintf("evaluation # %d:\n", i))            print(args)        }        for (a in names(args)) assign(a, args[[a]], pos = envir,             inherits = FALSE)        r <- tryCatch(eval(xpr, envir = envir), error = function(e) e)        if (obj$verbose) {            cat("result of evaluating expression:\n")            print(r)        }        tryCatch(accumulator(list(r), i), error = function(e) {            cat("error calling combine function:\n")            print(e)            NULL        })        i <- i + 1    }}, error = function(e) {    if (!identical(conditionMessage(e), "StopIteration"))         stop(simpleError(conditionMessage(e), expr))})
11: e$fun(obj, substitute(ex), parent.frame(), e$data)
12: foreach(c = 1:numChrs, .combine = rbind, .noexport = c("data")) %dopar%     {        if (verbose == TRUE) {            message(c, " ", appendLF = FALSE)        }        .Call("fwd_backC_clonalCN", log(piGiZi[c, ]), py[, chrsI[[c]]],             gNoOUTStateParams$ct, gNoOUTStateParams$ZS, Z, posn[chrsI[[c]]],             txnZstrength * txnExpLen, txnExpLen, O)    }
13: runEMclonalCN(data, newParams, maxiter = 1, txnExpLen = convergeParams$txn_exp_len,     txnZstrength = convergeParams$txn_z_strength, useOutlierState = FALSE,     normalEstimateMethod = "fixed", estimateS = FALSE, estimatePloidy = F,     verbose = verbose)
14: removeEmptyClusters(data, convergeParams, outmat, proportionThreshold = proportionThreshold,     proportionThresholdClonal = proportionThresholdClonal, recomputeLogLik = recomputeLogLik,     verbose = verbose)
15: outputTitanResults(data, convergeParams, optimalPath, filename = NULL,     posteriorProbs = FALSE, subcloneProfiles = TRUE, correctResults = TRUE,     proportionThreshold = 0.05, proportionThresholdClonal = 0.05,     is.haplotypeData = FALSE)
16: eval(expr, .GlobalEnv)
17: eval(expr, .GlobalEnv)
18: withVisible(eval(expr, .GlobalEnv))
19: doTryCatch(return(expr), name, parentenv, handler)
20: tryCatchOne(expr, names, parentenv, handlers[[1L]])
21: tryCatchList(expr, classes, parentenv, handlers)
22: tryCatch(expr, error = function(e) {    call <- conditionCall(e)    if (!is.null(call)) {        if (identical(call[[1L]], quote(doTryCatch)))             call <- sys.call(-4L)        dcall <- deparse(call, nlines = 1L)        prefix <- paste("Error in", dcall, ": ")        LONG <- 75L        sm <- strsplit(conditionMessage(e), "\n")[[1L]]        w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w")        if (is.na(w))             w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L],                 type = "b")        if (w > LONG)             prefix <- paste0(prefix, "\n  ")    }    else prefix <- "Error : "    msg <- paste0(prefix, conditionMessage(e), "\n")    .Internal(seterrmessage(msg[1L]))    if (!silent && isTRUE(getOption("show.error.messages"))) {        cat(msg, file = outFile)        .Internal(printDeferredWarnings())    }    invisible(structure(msg, class = "try-error", condition = e))})
23: try(withVisible(eval(expr, .GlobalEnv)), silent = TRUE)
24: evalFunc(ce, options)
25: tryCatchList(expr, classes, parentenv, handlers)
26: tryCatch(evalFunc(ce, options), finally = {    cat("\n")    sink()})
27: driver$runcode(drobj, chunk, chunkopts)
28: utils::Sweave(...)
29: engine$weave(file, quiet = quiet, encoding = enc)
30: doTryCatch(return(expr), name, parentenv, handler)
31: tryCatchOne(expr, names, parentenv, handlers[[1L]])
32: tryCatchList(expr, classes, parentenv, handlers)
33: tryCatch({    engine$weave(file, quiet = quiet, encoding = enc)    setwd(startdir)    output <- find_vignette_product(name, by = "weave", engine = engine)    if (!have.makefile && vignette_is_tex(output)) {        texi2pdf(file = output, clean = FALSE, quiet = quiet)        output <- find_vignette_product(name, by = "texi2pdf",             engine = engine)    }    outputs <- c(outputs, output)}, error = function(e) {    thisOK <<- FALSE    fails <<- c(fails, file)    message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s",         file, conditionMessage(e)))})
34: tools::buildVignettes(dir = ".", tangle = TRUE)
An irrecoverable exception occurred. R is aborting now ...