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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: 29884 Segmentation fault: 11  '/Library/Frameworks/R.framework/Resources/bin/Rscript' --vanilla --default-packages= -e "tools::buildVignettes(dir = '.', tangle = TRUE)" > '/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmpek4yqh/xshell6ab87bb1ebe7' 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 ‘GenomeInfoDb::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’
titan: Loading data /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/Rtmpek4yqh/Rinst6ab8d6ca412/TitanCNA/extdata/test_alleleCounts_chr2.txt
Reading GC and mappability files
Slurping: /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/Rtmpek4yqh/Rinst6ab8d6ca412/TitanCNA/extdata/gc_chr2.wig
Parsing: fixedStep chrom=2 start=1 step=1000 span=1000
Sorting by decreasing chromosome size
Slurping: /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/Rtmpek4yqh/Rinst6ab8d6ca412/TitanCNA/extdata/map_chr2.wig
Parsing: fixedStep chrom=2 start=1 step=1000 span=1000
Sorting by decreasing chromosome size
Loading tumour file:/private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/Rtmpek4yqh/Rinst6ab8d6ca412/TitanCNA/extdata/test_tum_chr2.wig
Slurping: /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/Rtmpek4yqh/Rinst6ab8d6ca412/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/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/Rtmpek4yqh/Rinst6ab8d6ca412/TitanCNA/extdata/test_norm_chr2.wig
Slurping: /private/var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T/Rtmpek4yqh/Rinst6ab8d6ca412/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=-30471 and n=0.3974 (map), s=[0.0083,0.3762], phi=1.501
fwdBack: loglik=-34148.7871
fwdBack: priorN=0.3624
fwdBack: priorS=-2.6715
fwdBack: priorVar=-436.8144
fwdBack: priorVarR=0.0000
fwdBack: priorPhi=-1.0957
fwdBack: priorPiG=60.3628
fwdBack: priorPiZ=0.9808
fwdBack: EM iteration 1 complete loglik=-34527.6626
fwdBack: Elapsed time for iteration 1: 0.0199m
fwdBack: Iteration 2 chr: 1 
Using Coordinate Descent iteration 11 with Fval=-26830 and n=0.2538 (map), s=[0.0088,0.4330], phi=1.47
fwdBack: loglik=-28940.4182
fwdBack: priorN=0.1277
fwdBack: priorS=-2.5669
fwdBack: priorVar=-749.9739
fwdBack: priorVarR=0.0000
fwdBack: priorPhi=-1.2470
fwdBack: priorPiG=60.3628
fwdBack: priorPiZ=0.9808
fwdBack: EM iteration 2 complete loglik=-29632.7347
fwdBack: Elapsed time for iteration 2: 0.0205m
fwdBack: Iteration 3 chr: 1 
Using Coordinate Descent iteration 11 with Fval=-26076 and n=0.2113 (map), s=[0.0069,0.4529], phi=1.485
fwdBack: loglik=-26349.6090
fwdBack: priorN=-0.0000
fwdBack: priorS=-2.7987
fwdBack: priorVar=-818.9260
fwdBack: priorVarR=0.0000
fwdBack: priorPhi=-1.1735
fwdBack: priorPiG=60.3628
fwdBack: priorPiZ=0.9808
fwdBack: EM iteration 3 complete loglik=-27111.1637
fwdBack: Elapsed time for iteration 3: 0.0189m
fwdBack: Total elapsed time: 0.1037m
outputTitanResults: Correcting results...
outputTitanResults: Recomputing log-likelihood.
titan: Running HMM...
fwdBack: Iteration 1 chr: 1 
 *** caught segfault ***
address 0x1, cause 'invalid permissions'

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 ...