Last updated on 2026-02-12 03:52:15 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.2.0 | OK | ||||
| r-devel-linux-x86_64-debian-gcc | 1.2.0 | 34.85 | 115.46 | 150.31 | OK | |
| r-devel-linux-x86_64-fedora-clang | 1.2.0 | 84.00 | 258.09 | 342.09 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 1.2.0 | 87.00 | 245.81 | 332.81 | OK | |
| r-devel-macos-arm64 | 1.2.0 | 10.00 | 28.00 | 38.00 | ERROR | |
| r-devel-windows-x86_64 | 1.2.0 | 47.00 | 187.00 | 234.00 | OK | |
| r-patched-linux-x86_64 | 1.2.0 | 39.68 | 154.88 | 194.56 | OK | |
| r-release-linux-x86_64 | 1.2.0 | 38.78 | 154.86 | 193.64 | OK | |
| r-release-macos-arm64 | 1.2.0 | OK | ||||
| r-release-macos-x86_64 | 1.2.0 | 25.00 | 146.00 | 171.00 | OK | |
| r-release-windows-x86_64 | 1.2.0 | 44.00 | 177.00 | 221.00 | OK | |
| r-oldrel-macos-arm64 | 1.2.0 | OK | ||||
| r-oldrel-macos-x86_64 | 1.2.0 | 25.00 | 143.00 | 168.00 | OK | |
| r-oldrel-windows-x86_64 | 1.2.0 | 60.00 | 243.00 | 303.00 | OK |
Version: 1.2.0
Check: examples
Result: ERROR
Running examples in ‘inferCSN-Ex.R’ failed
The error most likely occurred in:
> ### Name: inferCSN
> ### Title: inferring cell-type specific gene regulatory network
> ### Aliases: inferCSN inferCSN,matrix-method inferCSN,sparseMatrix-method
> ### inferCSN,data.frame-method
>
> ### ** Examples
>
> data(example_matrix)
> network_table_1 <- inferCSN(
+ example_matrix
+ )
ℹ [2026-02-12 13:24:11] Running for <dense matrix>.
◌ [2026-02-12 13:24:11] Checking input parameters...
ℹ [2026-02-12 13:24:11] Using `L0` sparse regression model
ℹ [2026-02-12 13:24:11] Using 1 core
ℹ [2026-02-12 13:24:11] Building results
✔ [2026-02-12 13:24:11] Run done.
>
> network_table_2 <- inferCSN(
+ example_matrix,
+ cores = 2
+ )
ℹ [2026-02-12 13:24:11] Running for <dense matrix>.
◌ [2026-02-12 13:24:11] Checking input parameters...
ℹ [2026-02-12 13:24:11] Using `L0` sparse regression model
ℹ [2026-02-12 13:24:11] Using 2 cores
*** caught segfault ***
address 0x110, cause 'invalid permissions'
*** caught segfault ***
address 0x110, cause 'invalid permissions'
Traceback:
1: L0Learn::L0Learn.fit(x, y, penalty = penalty, maxSuppSize = regulators_num, ...)
2: doTryCatch(return(expr), name, parentenv, handler)
3: tryCatchOne(expr, names, parentenv, handlers[[1L]])
4: tryCatchList(expr, classes, parentenv, handlers)
5: 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))})
6: try(L0Learn::L0Learn.fit(x, y, penalty = penalty, maxSuppSize = regulators_num, ...))
7: fit_srm(x, y, cross_validation = cross_validation, seed = seed, penalty = penalty, n_folds = n_folds, verbose = verbose, ...)
8: single_network(matrix = object, regulators = regulators, target = x, cross_validation = cross_validation, seed = seed, penalty = penalty, r_squared_threshold = r_squared_threshold, n_folds = n_folds, verbose = verbose, ...)
9: fun(x[[i]])
10: doTryCatch(return(expr), name, parentenv, handler)
11: tryCatchOne(expr, names, parentenv, handlers[[1L]])
12: tryCatchList(expr, classes, parentenv, handlers)
13: tryCatch(fun(x[[i]]), error = function(e) { structure(list(error = e$message, index = i, input = x[[i]]), class = "parallelize_error")})
14: eval(c.expr, envir = args, enclos = envir)
15: eval(c.expr, envir = args, enclos = envir)
16: doTryCatch(return(expr), name, parentenv, handler)
17: tryCatchOne(expr, names, parentenv, handlers[[1L]])
18: tryCatchList(expr, classes, parentenv, handlers)
19: tryCatch(eval(c.expr, envir = args, enclos = envir), error = function(e) e)
20: FUN(X[[i]], ...)
21: lapply(X = S, FUN = FUN, ...)
22: doTryCatch(return(expr), name, parentenv, handler)
23: tryCatchOne(expr, names, parentenv, handlers[[1L]])
24: tryCatchList(expr, classes, parentenv, handlers)
25: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))})
26: try(lapply(X = S, FUN = FUN, ...), silent = TRUE)
27: sendMaster(try(lapply(X = S, FUN = FUN, ...), silent = TRUE))
28: FUN(X[[i]], ...)
29: lapply(seq_len(cores), inner.do)
30: mclapply(argsList, FUN, mc.preschedule = preschedule, mc.set.seed = set.seed, mc.silent = silent, mc.cores = cores)
31: e$fun(obj, substitute(ex), parent.frame(), e$data)
32: foreach::foreach(i = chunk, .combine = "c", .export = export_fun) %dopar% { list(tryCatch(fun(x[[i]]), error = function(e) { structure(list(error = e$message, index = i, input = x[[i]]), class = "parallelize_error") })) }
33: thisutils::parallelize_fun(x = targets, fun = function(x) { single_network(matrix = object, regulators = regulators, target = x, cross_validation = cross_validation, seed = seed, penalty = penalty, r_squared_threshold = r_squared_threshold, n_folds = n_folds, verbose = verbose, ...)}, cores = cores, verbose = verbose)
34: obj_check_list(x, call = error_call)
35: check_list_of_data_frames(x)
36: purrr::list_rbind(thisutils::parallelize_fun(x = targets, fun = function(x) { single_network(matrix = object, regulators = regulators, target = x, cross_validation = cross_validation, seed = seed, penalty = penalty, r_squared_threshold = r_squared_threshold, n_folds = n_folds, verbose = verbose, ...)}, cores = cores, verbose = verbose))
37: network_format(purrr::list_rbind(thisutils::parallelize_fun(x = targets, fun = function(x) { single_network(matrix = object, regulators = regulators, target = x, cross_validation = cross_validation, seed = seed, penalty = penalty, r_squared_threshold = r_squared_threshold, n_folds = n_folds, verbose = verbose, ...) }, cores = cores, verbose = verbose)), abs_weight = FALSE)
38: inferCSN(example_matrix, cores = 2)
39: inferCSN(example_matrix, cores = 2)
An irrecoverable exception occurred. R is aborting now ...
Traceback:
1: L0Learn::L0Learn.fit(x, y, penalty = penalty, maxSuppSize = regulators_num, ...)
2: doTryCatch(return(expr), name, parentenv, handler)
3: tryCatchOne(expr, names, parentenv, handlers[[1L]])
4: tryCatchList(expr, classes, parentenv, handlers)
5: 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))})
6: try(L0Learn::L0Learn.fit(x, y, penalty = penalty, maxSuppSize = regulators_num, ...))
7: fit_srm(x, y, cross_validation = cross_validation, seed = seed, penalty = penalty, n_folds = n_folds, verbose = verbose, ...)
8: single_network(matrix = object, regulators = regulators, target = x, cross_validation = cross_validation, seed = seed, penalty = penalty, r_squared_threshold = r_squared_threshold, n_folds = n_folds, verbose = verbose, ...)
9: fun(x[[i]])
10: doTryCatch(return(expr), name, parentenv, handler)
11: tryCatchOne(expr, names, parentenv, handlers[[1L]])
12: tryCatchList(expr, classes, parentenv, handlers)
13: tryCatch(fun(x[[i]]), error = function(e) { structure(list(error = e$message, index = i, input = x[[i]]), class = "parallelize_error")})
14: eval(c.expr, envir = args, enclos = envir)
15: eval(c.expr, envir = args, enclos = envir)
16: doTryCatch(return(expr), name, parentenv, handler)
17: tryCatchOne(expr, names, parentenv, handlers[[1L]])
18: tryCatchList(expr, classes, parentenv, handlers)
19: tryCatch(eval(c.expr, envir = args, enclos = envir), error = function(e) e)
20: FUN(X[[i]], ...)
21: lapply(X = S, FUN = FUN, ...)
22: doTryCatch(return(expr), name, parentenv, handler)
23: tryCatchOne(expr, names, parentenv, handlers[[1L]])
24: tryCatchList(expr, classes, parentenv, handlers)
25: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))})
26: try(lapply(X = S, FUN = FUN, ...), silent = TRUE)
27: sendMaster(try(lapply(X = S, FUN = FUN, ...), silent = TRUE))
28: FUN(X[[i]], ...)
29: lapply(seq_len(cores), inner.do)
30: mclapply(argsList, FUN, mc.preschedule = preschedule, mc.set.seed = set.seed, mc.silent = silent, mc.cores = cores)
31: e$fun(obj, substitute(ex), parent.frame(), e$data)
32: foreach::foreach(i = chunk, .combine = "c", .export = export_fun) %dopar% { list(tryCatch(fun(x[[i]]), error = function(e) { structure(list(error = e$message, index = i, input = x[[i]]), class = "parallelize_error") })) }
33: thisutils::parallelize_fun(x = targets, fun = function(x) { single_network(matrix = object, regulators = regulators, target = x, cross_validation = cross_validation, seed = seed, penalty = penalty, r_squared_threshold = r_squared_threshold, n_folds = n_folds, verbose = verbose, ...)}, cores = cores, verbose = verbose)
34: obj_check_list(x, call = error_call)
35: check_list_of_data_frames(x)
36: purrr::list_rbind(thisutils::parallelize_fun(x = targets, fun = function(x) { single_network(matrix = object, regulators = regulators, target = x, cross_validation = cross_validation, seed = seed, penalty = penalty, r_squared_threshold = r_squared_threshold, n_folds = n_folds, verbose = verbose, ...)}, cores = cores, verbose = verbose))
37: network_format(purrr::list_rbind(thisutils::parallelize_fun(x = targets, fun = function(x) { single_network(matrix = object, regulators = regulators, target = x, cross_validation = cross_validation, seed = seed, penalty = penalty, r_squared_threshold = r_squared_threshold, n_folds = n_folds, verbose = verbose, ...) }, cores = cores, verbose = verbose)), abs_weight = FALSE)
38: inferCSN(example_matrix, cores = 2)
39: inferCSN(example_matrix, cores = 2)
An irrecoverable exception occurred. R is aborting now ...
Warning in mclapply(argsList, FUN, mc.preschedule = preschedule, mc.set.seed = set.seed, :
scheduled cores 1, 2 did not deliver results, all values of the jobs will be affected
*** caught segfault ***
address 0x110, cause 'invalid permissions'
*** caught segfault ***
address 0x110, cause 'invalid permissions'
Traceback:
1: L0Learn::L0Learn.fit(x, y, penalty = penalty, maxSuppSize = regulators_num, ...)
2: doTryCatch(return(expr), name, parentenv, handler)
3: tryCatchOne(expr, names, parentenv, handlers[[1L]])
4: tryCatchList(expr, classes, parentenv, handlers)
5: 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))})
6: try(L0Learn::L0Learn.fit(x, y, penalty = penalty, maxSuppSize = regulators_num, ...))
7: fit_srm(x, y, cross_validation = cross_validation, seed = seed, penalty = penalty, n_folds = n_folds, verbose = verbose, ...)
8: single_network(matrix = object, regulators = regulators, target = x, cross_validation = cross_validation, seed = seed, penalty = penalty, r_squared_threshold = r_squared_threshold, n_folds = n_folds, verbose = verbose, ...)
9: fun(x[[i]])
10: doTryCatch(return(expr), name, parentenv, handler)
11: tryCatchOne(expr, names, parentenv, handlers[[1L]])
12: tryCatchList(expr, classes, parentenv, handlers)
13: tryCatch(fun(x[[i]]), error = function(e) { structure(list(error = e$message, index = i, input = x[[i]]), class = "parallelize_error")})
14: eval(c.expr, envir = args, enclos = envir)
15: eval(c.expr, envir = args, enclos = envir)
16: doTryCatch(return(expr), name, parentenv, handler)
17: tryCatchOne(expr, names, parentenv, handlers[[1L]])
18: tryCatchList(expr, classes, parentenv, handlers)
19: tryCatch(eval(c.expr, envir = args, enclos = envir), error = function(e) e)
20: FUN(X[[i]], ...)
21: lapply(X = S, FUN = FUN, ...)
22: doTryCatch(return(expr), name, parentenv, handler)
23: tryCatchOne(expr, names, parentenv, handlers[[1L]])
24: tryCatchList(expr, classes, parentenv, handlers)
25: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))})
26: try(lapply(X = S, FUN = FUN, ...), silent = TRUE)
27: sendMaster(try(lapply(X = S, FUN = FUN, ...), silent = TRUE))
28: FUN(X[[i]], ...)
29: lapply(seq_len(cores), inner.do)
30: mclapply(argsList, FUN, mc.preschedule = preschedule, mc.set.seed = set.seed, mc.silent = silent, mc.cores = cores)
31: e$fun(obj, substitute(ex), parent.frame(), e$data)
32: foreach::foreach(i = chunk, .combine = "c", .export = export_fun) %dopar% { list(tryCatch(fun(x[[i]]), error = function(e) { structure(list(error = e$message, index = i, input = x[[i]]), class = "parallelize_error") })) }
33: thisutils::parallelize_fun(x = targets, fun = function(x) { single_network(matrix = object, regulators = regulators, target = x, cross_validation = cross_validation, seed = seed, penalty = penalty, r_squared_threshold = r_squared_threshold, n_folds = n_folds, verbose = verbose, ...)}, cores = cores, verbose = verbose)
34: obj_check_list(x, call = error_call)
35: check_list_of_data_frames(x)
36: purrr::list_rbind(thisutils::parallelize_fun(x = targets, fun = function(x) { single_network(matrix = object, regulators = regulators, target = x, cross_validation = cross_validation, seed = seed, penalty = penalty, r_squared_threshold = r_squared_threshold, n_folds = n_folds, verbose = verbose, ...)}, cores = cores, verbose = verbose))
37: network_format(purrr::list_rbind(thisutils::parallelize_fun(x = targets, fun = function(x) { single_network(matrix = object, regulators = regulators, target = x, cross_validation = cross_validation, seed = seed, penalty = penalty, r_squared_threshold = r_squared_threshold, n_folds = n_folds, verbose = verbose, ...) }, cores = cores, verbose = verbose)), abs_weight = FALSE)
38: inferCSN(example_matrix, cores = 2)
39: inferCSN(example_matrix, cores = 2)
An irrecoverable exception occurred. R is aborting now ...
Traceback:
1: L0Learn::L0Learn.fit(x, y, penalty = penalty, maxSuppSize = regulators_num, ...)
2: doTryCatch(return(expr), name, parentenv, handler)
3: tryCatchOne(expr, names, parentenv, handlers[[1L]])
4: tryCatchList(expr, classes, parentenv, handlers)
5: 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))})
6: try(L0Learn::L0Learn.fit(x, y, penalty = penalty, maxSuppSize = regulators_num, ...))
7: fit_srm(x, y, cross_validation = cross_validation, seed = seed, penalty = penalty, n_folds = n_folds, verbose = verbose, ...)
8: single_network(matrix = object, regulators = regulators, target = x, cross_validation = cross_validation, seed = seed, penalty = penalty, r_squared_threshold = r_squared_threshold, n_folds = n_folds, verbose = verbose, ...)
9: fun(x[[i]])
10: doTryCatch(return(expr), name, parentenv, handler)
11: tryCatchOne(expr, names, parentenv, handlers[[1L]])
12: tryCatchList(expr, classes, parentenv, handlers)
13: tryCatch(fun(x[[i]]), error = function(e) { structure(list(error = e$message, index = i, input = x[[i]]), class = "parallelize_error")})
14: eval(c.expr, envir = args, enclos = envir)
15: eval(c.expr, envir = args, enclos = envir)
16: doTryCatch(return(expr), name, parentenv, handler)
17: tryCatchOne(expr, names, parentenv, handlers[[1L]])
18: tryCatchList(expr, classes, parentenv, handlers)
19: tryCatch(eval(c.expr, envir = args, enclos = envir), error = function(e) e)
20: FUN(X[[i]], ...)
21: lapply(X = S, FUN = FUN, ...)
22: doTryCatch(return(expr), name, parentenv, handler)
23: tryCatchOne(expr, names, parentenv, handlers[[1L]])
24: tryCatchList(expr, classes, parentenv, handlers)
25: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))})
26: try(lapply(X = S, FUN = FUN, ...), silent = TRUE)
27: sendMaster(try(lapply(X = S, FUN = FUN, ...), silent = TRUE))
28: FUN(X[[i]], ...)
29: lapply(seq_len(cores), inner.do)
30: mclapply(argsList, FUN, mc.preschedule = preschedule, mc.set.seed = set.seed, mc.silent = silent, mc.cores = cores)
31: e$fun(obj, substitute(ex), parent.frame(), e$data)
32: foreach::foreach(i = chunk, .combine = "c", .export = export_fun) %dopar% { list(tryCatch(fun(x[[i]]), error = function(e) { structure(list(error = e$message, index = i, input = x[[i]]), class = "parallelize_error") })) }
33: thisutils::parallelize_fun(x = targets, fun = function(x) { single_network(matrix = object, regulators = regulators, target = x, cross_validation = cross_validation, seed = seed, penalty = penalty, r_squared_threshold = r_squared_threshold, n_folds = n_folds, verbose = verbose, ...)}, cores = cores, verbose = verbose)
34: obj_check_list(x, call = error_call)
35: check_list_of_data_frames(x)
36: purrr::list_rbind(thisutils::parallelize_fun(x = targets, fun = function(x) { single_network(matrix = object, regulators = regulators, target = x, cross_validation = cross_validation, seed = seed, penalty = penalty, r_squared_threshold = r_squared_threshold, n_folds = n_folds, verbose = verbose, ...)}, cores = cores, verbose = verbose))
37: network_format(purrr::list_rbind(thisutils::parallelize_fun(x = targets, fun = function(x) { single_network(matrix = object, regulators = regulators, target = x, cross_validation = cross_validation, seed = seed, penalty = penalty, r_squared_threshold = r_squared_threshold, n_folds = n_folds, verbose = verbose, ...) }, cores = cores, verbose = verbose)), abs_weight = FALSE)
38: inferCSN(example_matrix, cores = 2)
39: inferCSN(example_matrix, cores = 2)
An irrecoverable exception occurred. R is aborting now ...
Warning in mclapply(argsList, FUN, mc.preschedule = preschedule, mc.set.seed = set.seed, :
scheduled cores 1, 2 did not deliver results, all values of the jobs will be affected
ℹ [2026-02-12 13:24:11] Building results
Error in names(output_list) <- x : attempt to set an attribute on NULL
Calls: inferCSN ... check_list_of_data_frames -> obj_check_list -> <Anonymous>
Execution halted
Flavor: r-devel-macos-arm64