Running examples in ‘jomo-Ex.R’ failed
The error most likely occurred in:

> ### Name: jomo.glm
> ### Title: Joint Modelling Imputation Compatible with glm Model
> ### Aliases: jomo.glm
> 
> ### ** Examples
> 
> 
>    # make sure sex is a factor:
>   
>   sldata<-within(sldata, sex<-factor(sex))
>   
>   # we define the data frame with all the variables 
>   
>   data<-sldata[,c("measure","age", "sex")]
>   
>   # And the formula of the substantive lm model 
>   # sex as an outcome only because it is the only binary variable in the dataset...
>   
>   formula<-as.formula(sex~age+measure)
>   
>   #And finally we run the imputation function:
>   
>   imp<-jomo.glm(formula,data, nburn=10, nbetween=10, nimp=2)
This function is beta software. Use carefully and please report any bug to the package mantainer

 *** caught segfault ***
address 70a, cause 'memory not mapped'
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Traceback:
 1: structure(value, row.names = row.names, class = "data.frame")
 2: as.data.frame.numeric(x[[i]], optional = TRUE)
 3: as.data.frame(x[[i]], optional = TRUE)
 4: (function (..., row.names = NULL, check.rows = FALSE, check.names = TRUE,     fix.empty.names = TRUE, stringsAsFactors = FALSE) {    data.row.names <- if (check.rows && is.null(row.names))         function(current, new, i) {            if (is.character(current))                 new <- as.character(new)            if (is.character(new))                 current <- as.character(current)            if (anyDuplicated(new))                 return(current)            if (is.null(current))                 return(new)            if (all(current == new) || all(current == ""))                 return(new)            stop(gettextf("mismatch of row names in arguments of 'data.frame', item %d",                 i), domain = NA)        }    else function(current, new, i) {        if (is.null(current)) {            if (anyDuplicated(new)) {                warning(gettextf("some row.names duplicated: %s --> row.names NOT used",                   paste(which(duplicated(new)), collapse = ",")),                   domain = NA)                current            }            else new        }        else current    }    object <- as.list(substitute(list(...)))[-1L]    mirn <- missing(row.names)    mrn <- is.null(row.names)    x <- list(...)    n <- length(x)    if (n < 1L) {        if (!mrn) {            if (is.object(row.names) || !is.integer(row.names))                 row.names <- as.character(row.names)            if (anyNA(row.names))                 stop("row names contain missing values")            if (anyDuplicated(row.names))                 stop(gettextf("duplicate row.names: %s", paste(unique(row.names[duplicated(row.names)]),                   collapse = ", ")), domain = NA)        }        else row.names <- integer()        return(structure(list(), names = character(), row.names = row.names,             class = "data.frame"))    }    vnames <- names(x)    if (length(vnames) != n)         vnames <- character(n)    no.vn <- !nzchar(vnames)    vlist <- vnames <- as.list(vnames)    nrows <- ncols <- integer(n)    for (i in seq_len(n)) {        xi <- if (is.character(x[[i]]) || is.list(x[[i]]))             as.data.frame(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors)        else as.data.frame(x[[i]], optional = TRUE)        nrows[i] <- .row_names_info(xi)        ncols[i] <- length(xi)        namesi <- names(xi)        if (ncols[i] > 1L) {            if (length(namesi) == 0L)                 namesi <- seq_len(ncols[i])            vnames[[i]] <- if (no.vn[i])                 namesi            else paste(vnames[[i]], namesi, sep = ".")        }        else if (length(namesi)) {            vnames[[i]] <- namesi        }        else if (fix.empty.names && no.vn[[i]]) {            tmpname <- deparse(object[[i]], nlines = 1L)[1L]            if (startsWith(tmpname, "I(") && endsWith(tmpname,                 ")")) {                ntmpn <- nchar(tmpname, "c")                tmpname <- substr(tmpname, 3L, ntmpn - 1L)            }            vnames[[i]] <- tmpname        }        if (mirn && nrows[i] > 0L) {            rowsi <- attr(xi, "row.names")            if (any(nzchar(rowsi)))                 row.names <- data.row.names(row.names, rowsi,                   i)        }        nrows[i] <- abs(nrows[i])        vlist[[i]] <- xi    }    nr <- max(nrows)    for (i in seq_len(n)[nrows < nr]) {        xi <- vlist[[i]]        if (nrows[i] > 0L && (nr%%nrows[i] == 0L)) {            xi <- unclass(xi)            fixed <- TRUE            for (j in seq_along(xi)) {                xi1 <- xi[[j]]                if (is.vector(xi1) || is.factor(xi1))                   xi[[j]] <- rep(xi1, length.out = nr)                else if (is.character(xi1) && inherits(xi1, "AsIs"))                   xi[[j]] <- structure(rep(xi1, length.out = nr),                     class = class(xi1))                else if (inherits(xi1, "Date") || inherits(xi1,                   "POSIXct"))                   xi[[j]] <- rep(xi1, length.out = nr)                else {                  fixed <- FALSE                  break                }            }            if (fixed) {                vlist[[i]] <- xi                next            }        }        stop(gettextf("arguments imply differing number of rows: %s",             paste(unique(nrows), collapse = ", ")), domain = NA)    }    value <- unlist(vlist, recursive = FALSE, use.names = FALSE)    vnames <- as.character(unlist(vnames[ncols > 0L]))    if (fix.empty.names && any(noname <- !nzchar(vnames)))         vnames[noname] <- paste0("Var.", seq_along(vnames))[noname]    if (check.names) {        if (fix.empty.names)             vnames <- make.names(vnames, unique = TRUE)        else {            nz <- nzchar(vnames)            vnames[nz] <- make.names(vnames[nz], unique = TRUE)        }    }    names(value) <- vnames    if (!mrn) {        if (length(row.names) == 1L && nr != 1L) {            if (is.character(row.names))                 row.names <- match(row.names, vnames, 0L)            if (length(row.names) != 1L || row.names < 1L ||                 row.names > length(vnames))                 stop("'row.names' should specify one of the variables")            i <- row.names            row.names <- value[[i]]            value <- value[-i]        }        else if (!is.null(row.names) && length(row.names) !=             nr)             stop("row names supplied are of the wrong length")    }    else if (!is.null(row.names) && length(row.names) != nr) {        warning("row names were found from a short variable and have been discarded")        row.names <- NULL    }    class(value) <- "data.frame"    if (is.null(row.names))         attr(value, "row.names") <- .set_row_names(nr)    else {        if (is.object(row.names) || !is.integer(row.names))             row.names <- as.character(row.names)        if (anyNA(row.names))             stop("row names contain missing values")        if (anyDuplicated(row.names))             stop(gettextf("duplicate row.names: %s", paste(unique(row.names[duplicated(row.names)]),                 collapse = ", ")), domain = NA)        row.names(value) <- row.names    }    value})(age = c(59, 70, 63, 55, 59, 58, 67, 68, 59, 55, 63, 64, 66, 65, 71, 78, 70, 59, 72, 62, 55, 57, 77, 72, 56, 58, 76, 78, 67, 77, 58, 74, 74, 78, 66, 79, 75, 64, 59, 79, 59, 67, 79, 68, 64, 71, 74, 65, 69, 55, 72, 62, 75, 66, 66, 57, 55, 70, 56, 74, 79, 58, 64, 60, 66, 58, 76, 56, 69, 78, 70, 67, 58, 58, 60, 68, 73, 68, 77, 57, 79, 74, 79, 78, 58, 74, 63, 56, 72, 77, 62, 74, 78, 66, 70, 78, 66, 78, 69, 59, 67, 58, 76, 61, 64, 67, 70, 67, 56, 67, 79, 63, 77, 56, 75, 55, 77, 70, 71, 56, 60, 73, 59, 65, 70, 65, 66, 63, 75, 67, 55, 62, 61, 73, 65, 66, 71, 60, 59, 58, 59, 68, 65, 68, 76, 70, 64, 60, 72, 67, 64, 73, 58, 62, 64, 61, 72, 73, 57, 64, 67, 56, 79, 55, 66, 71, 64, 59, 69, 58, 71, 56, 67, 60, 65, 55, 65, 64, 76, 74, 72, 75, 76, 56, 72, 72, 62, 77, 69, 78, 78, 56, 60, 75, 79, 61, 68, 78, 78, 61, 55, 55, 64, 58, 65, 75, 66, 77, 63, 68, 64, 71, 63, 76, 71, 67, 73, 66, 60, 71, 60, 64, 71, 76, 68, 59, 64, 67, 65, 63, 76, 77, 73, 72, 67, 70, 73, 60, 60, 65, 66, 75, 60, 70, 63, 75, 74, 73, 74, 73, 71, 55, 78, 71, 73, 64, 77, 68, 57, 68, 77, 67, 70, 59, 64, 79, 76, 68, 71, 66, 76, 62, 70, 63, 58, 68, 78, 56, 79, 59, 76, 62, 61, 56, 61, 79, 69, 73, 58, 75, 75, 64, 76, 70, 64, 62, 78, 73, 55, 60),     measure = c(NA, 0.383235009662962, 1.26429109139477, 0.766818570869711,     NA, -0.171937637997558, 1.35109020706381, 1.99158684733626,     NA, NA, 1.02725695169181, NA, -0.00319977432970608, NA, 1.36877140968966,     1.27745906673717, 1.40855117987513, 1.28088898238308, 1.39588591015758,     1.98049307648845, 1.32786327993328, NA, 1.21639386066364,     1.75819786779594, 1.08716457322385, NA, 0.0326728982550281,     1.97332581617551, 0.668501092505187, NA, NA, 1.27381570614957,     NA, -0.588708057246159, -0.282041868007225, 2.52505748215564,     0.346217755287986, 0.969497265062077, 1.58445230686025, 0.702998253765726,     0.859300506067827, NA, NA, 2.8707321646754, 1.98243457765958,     0.510325660549947, -0.431926703199728, 1.18705626078917,     0.0873136459592833, 0.732325252189547, 3.41359572704257,     NA, -0.937606182580531, 0.449010713067927, -0.7669954616007,     -0.460242956521441, NA, NA, 1.99592271896512, 1.17620176865111,     1.59101221838176, NA, 1.88055184012439, 1.00657561759736,     1.46201799235737, 2.86594701924132, 2.58128665022711, 2.71748886750521,     NA, 1.05294859431661, -0.0312288258814941, -0.0417896350408813,     0.768298990088874, -0.0301837990069105, NA, 1.54662633183334,     NA, -0.318269535212246, 1.25401313316851, 0.683506976764861,     NA, 0.732426999983438, NA, NA, 1.17937658361167, 1.10823118638915,     NA, 0.956449601165093, 2.23642856417025, 1.04340724918617,     0.00679167553733873, -0.582476356949016, -0.379916877098039,     NA, NA, -0.0757663060451415, 0.61599080678422, NA, 2.12028859146041,     -0.251684574178488, 1.64135703670605, 1.84018053399158, 1.93077354609844,     1.05514101771219, NA, NA, NA, NA, -0.810361156683097, 0.308718245858974,     0.700982416890183, 0.930473903006384, 0.806680209975074,     NA, 1.14755126635998, 0.25663695023206, NA, 0.982889470379234,     2.1054129495277, 0.688834600355078, NA, 0.930564719663972,     NA, 0.935893501376958, 1.48845319248037, 1.59201905000054,     1.60414012775204, NA, 0.781413774565105, 3.02125007669659,     NA, NA, NA, 0.161381265064342, NA, 0.400167393137934, 0.359893308902825,     1.03227787475979, NA, NA, NA, NA, NA, 0.577017758590798,     1.95505338972719, NA, 2.49303238318641, NA, NA, 2.89316088754031,     -1.54886076732658, 1.29478802391045, 0.435135764636147, 1.39829131399164,     NA, 1.10579985835271, NA, NA, 1.28343710381277, NA, 1.32974583863232,     -0.933046001134586, NA, 0.148433460663001, NA, 0.686557068090747,     1.00384100540792, 1.54040394396795, 0.994197345982234, NA,     2.91372563048648, 0.735693210527618, 1.20239894167615, 1.50159769805607,     0.313938040299875, 1.15685915307325, NA, NA, 0.762675492743612,     1.92856416751033, 1.52787554717088, NA, -0.554170508287766,     -0.293167666254849, 0.78666284928471, NA, NA, -0.337850763133776,     -0.0668016826999236, 0.266186387802377, 0.937129856530664,     NA, NA, 1.7475582742611, 0.196666754751658, 1.72441083290216,     0.329544854276955, 1.54490856812445, 0.914722529252807, NA,     0.603379999192394, 0.703340118863202, 1.61662307005719, -0.660424404915405,     1.27621056550686, 0.016442936906977, 0.574522637976635, NA,     -0.305911092375901, -0.96615560478897, 0.875260942253441,     NA, 2.15601320296689, NA, 2.09217305402345, 0.97982784109903,     -0.120689232835967, 1.08830877863223, NA, 1.55304076355964,     -0.766834787581238, 1.24673301663227, 1.20914120121394, -0.557072570804613,     0.412548012078816, 1.96866826592064, 0.800471726135676, 1.49338663668033,     1.85460532671829, 0.26419068035708, 1.5535781659724, -0.288222671709727,     NA, 0.295995629862097, 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0.872074076866671,     0.91857249307204, 0.063966990743848, NA), check.names = FALSE,     fix.empty.names = TRUE, stringsAsFactors = FALSE)
 5: do.call(data.frame, c(x, alis))
 6: as.data.frame.list(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors)
 7: as.data.frame(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors)
 8: data.frame(mget(all.vars(formula[[3]]), envir = as.environment(data)))
 9: jomo.glm(formula, data, nburn = 10, nbetween = 10, nimp = 2)
An irrecoverable exception occurred. R is aborting now ...