Error(s) in re-building vignettes:
  ...
--- re-building 'rmetalog-vignette.Rmd' using rmarkdown
 ----------- FAILURE REPORT -------------- 
 --- failure: the condition has length > 1 ---
 --- srcref --- 
: 
 --- package (from environment) --- 
rmetalog
 --- call from context --- 
a_vector_OLS_and_LP(myList, term_limit = term_limit, term_lower_bound = term_lower_bound, 
    bounds = bounds, boundedness = boundedness, fit_method = fit_method, 
    diff_error = 0.001, diff_step = 0.001)
 --- call from argument --- 
if (class(temp) != "matrix") {
    temp <- a_vector_LP(myList, term_limit = i, term_lower_bound = i, 
        diff_error = diff_error, diff_step = diff_step)
    methodFit <- "Linear Program"
}
 --- R stacktrace ---
where 1: a_vector_OLS_and_LP(myList, term_limit = term_limit, term_lower_bound = term_lower_bound, 
    bounds = bounds, boundedness = boundedness, fit_method = fit_method, 
    diff_error = 0.001, diff_step = 0.001)
where 2: metalog(fishSize$FishSize, term_limit = 9, bounds = 0, boundedness = "sl", 
    step_len = 0.01)
where 3: eval(expr, envir, enclos)
where 4: eval(expr, envir, enclos)
where 5: withVisible(eval(expr, envir, enclos))
where 6: withCallingHandlers(withVisible(eval(expr, envir, enclos)), warning = wHandler, 
    error = eHandler, message = mHandler)
where 7: handle(ev <- withCallingHandlers(withVisible(eval(expr, envir, 
    enclos)), warning = wHandler, error = eHandler, message = mHandler))
where 8: timing_fn(handle(ev <- withCallingHandlers(withVisible(eval(expr, 
    envir, enclos)), warning = wHandler, error = eHandler, message = mHandler)))
where 9: evaluate_call(expr, parsed$src[[i]], envir = envir, enclos = enclos, 
    debug = debug, last = i == length(out), use_try = stop_on_error != 
        2L, keep_warning = keep_warning, keep_message = keep_message, 
    output_handler = output_handler, include_timing = include_timing)
where 10: evaluate::evaluate(...)
where 11: evaluate(code, envir = env, new_device = FALSE, keep_warning = !isFALSE(options$warning), 
    keep_message = !isFALSE(options$message), stop_on_error = if (options$error && 
        options$include) 0L else 2L, output_handler = knit_handlers(options$render, 
        options))
where 12: in_dir(input_dir(), evaluate(code, envir = env, new_device = FALSE, 
    keep_warning = !isFALSE(options$warning), keep_message = !isFALSE(options$message), 
    stop_on_error = if (options$error && options$include) 0L else 2L, 
    output_handler = knit_handlers(options$render, options)))
where 13: block_exec(params)
where 14: call_block(x)
where 15: process_group.block(group)
where 16: process_group(group)
where 17: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), 
    error = function(e) {
        setwd(wd)
        cat(res, sep = "\n", file = output %n% "")
        message("Quitting from lines ", paste(current_lines(i), 
            collapse = "-"), " (", knit_concord$get("infile"), 
            ") ")
    })
where 18: process_file(text, output)
where 19: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet)
where 20: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), 
    output_dir = getwd(), ...)
where 21: vweave_rmarkdown(...)
where 22: engine$weave(file, quiet = quiet, encoding = enc)
where 23: doTryCatch(return(expr), name, parentenv, handler)
where 24: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 25: tryCatchList(expr, classes, parentenv, handlers)
where 26: 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)))
})
where 27: tools:::buildVignettes(dir = "/home/hornik/tmp/R.check/r-devel-clang/Work/PKGS/rmetalog.Rcheck/vign_test/rmetalog", 
    ser_elibs = "/tmp/RtmprRzbCq/file41cc505b6534.rds")

 --- value of length: 2 type: logical ---
[1] FALSE  TRUE
 --- function from context --- 
function (myList, term_limit, term_lower_bound, bounds, boundedness, 
    fit_method, diff_error = 0.001, diff_step = 0.001) 
{
    A <- data.frame()
    c_a_names <- c()
    c_m_names <- c()
    Mh <- data.frame()
    Validation <- data.frame()
    for (i in term_lower_bound:term_limit) {
        Y <- as.matrix(myList$Y[, 1:(i)])
        z <- as.matrix(myList$dataValues$z)
        y <- myList$dataValues$probs
        step_len <- myList$params$step_len
        methodFit <- "OLS"
        a <- paste0("a", (i))
        m_name <- paste0("m", i)
        M_name <- paste0("M", i)
        c_m_names <- c(c_m_names, m_name, M_name)
        c_a_names <- c(c_a_names, a)
        temp <- try(((solve(t(Y) %*% Y) %*% t(Y)) %*% z), silent = TRUE)
        if (class(temp) != "matrix") {
            temp <- a_vector_LP(myList, term_limit = i, term_lower_bound = i, 
                diff_error = diff_error, diff_step = diff_step)
            methodFit <- "Linear Program"
        }
        temp <- c(temp, rep(0, (term_limit - (i))))
        if (length(z) < 100) {
            y <- seq(step_len, (1 - step_len), step_len)
            tailstep <- (step_len/10)
            y <- c(seq(tailstep, (min(y) - tailstep), tailstep), 
                y, seq((max(y) + tailstep), (max(y) + tailstep * 
                  9), tailstep))
        }
        tempList <- pdf_quantile_builder(temp, y = y, term_limit = i, 
            bounds = bounds, boundedness = boundedness)
        if (tempList$valid == "no" & class(temp) == "numeric" & 
            fit_method != "OLS") {
            temp <- a_vector_LP(myList, term_limit = i, term_lower_bound = i, 
                diff_error = diff_error, diff_step = diff_step)
            temp <- c(temp, rep(0, (term_limit - (i))))
            methodFit <- "Linear Program"
            tempList <- pdf_quantile_builder(temp, y = y, term_limit = i, 
                bounds = bounds, boundedness = boundedness)
        }
        if (length(Mh) != 0) {
            Mh <- cbind(Mh, tempList$m)
            Mh <- cbind(Mh, tempList$M)
        }
        if (length(Mh) == 0) {
            Mh <- as.data.frame(tempList$m)
            Mh <- cbind(Mh, tempList$M)
        }
        if (length(A) != 0) {
            A <- cbind(A, temp)
        }
        if (length(A) == 0) {
            A <- as.data.frame(temp)
        }
        tempValidation <- data.frame(term = i, valid = tempList$valid, 
            method = methodFit)
        Validation <- rbind(Validation, tempValidation)
    }
    colnames(A) <- c_a_names
    colnames(Mh) <- c_m_names
    myList$A <- A
    myList$M <- Mh
    myList$M$y <- tempList$y
    myList$Validation <- Validation
    return(myList)
}
<bytecode: 0x46dacb0>
<environment: namespace:rmetalog>
 --- function search by body ---
Function a_vector_OLS_and_LP in namespace rmetalog has this body.
 ----------- END OF FAILURE REPORT -------------- 
Quitting from lines 54-59 (rmetalog-vignette.Rmd) 
Error: processing vignette 'rmetalog-vignette.Rmd' failed with diagnostics:
the condition has length > 1
--- failed re-building 'rmetalog-vignette.Rmd'

SUMMARY: processing the following file failed:
  'rmetalog-vignette.Rmd'

Error: Vignette re-building failed.
Execution halted