similar to: array-bound error with GCC 13/14

On 5/9/25 03:09, Stephen Wade wrote: > The literanger package is no longer passing on CRAN > (https://CRAN.R-project.org/package=literanger) due to array-bound > warnings in GCC 13.3 and 14.2 (more details below). > > This _looks_ to me like one of either a) a compiler bug, b) a false > positive, or c) (very unlikely) something in the standard library > implementation. >

? Fri, 9 May 2025 11:09:22 +1000 Stephen Wade <stephematician at gmail.com> ?????: > inlined from ?std::vector<double> literanger::adjust_pvalues(const > std::vector<double>&)? at ../src/literanger/utility_math.h:99:48: > /usr/include/c++/13/bits/stl_algobase.h:437:30: warning: ?void* > __builtin_memmove(void*, const void*, long unsigned int)? writing >

Hopefully a member of the CRAN team will tell me I'm wrong, but I think whether or not there is a compiler bug is ultimately irrelevant -- packages on CRAN must compile cleanly even with potentially-buggy development versions of compilers. So, whether or not there is a bug in gcc is moot -- you'll need to find a way to avoid triggering this issue in your package code. Best, Kevin On

Hello, I am learning to use the metafor package to conduct meta-regression analyses for a systematic review on multidisciplinary care interventions in chronic kidney disease. For the forest plots, I can't figure out how to plot unadjusted and adjusted models on the same plot. From top to bottom, I would like to be able have the unadjusted plot, the multivariate adjusted plot, then each

Hello, Thank you for your help/advice! The issue here is speed/efficiency. I can do what I want, but its really slow. The goal is to have the ability to do calculations on my data and have it adjusted for look-ahead. I see two ways to do this: (I'm open to more ideas. My terminology: Unadjusted = values not adjusted for look-ahead bias; adjusted = values adjusted for look-ahead bias.) 1) I

# Hi all, # trying to run the following example code # from 'RQuantLib' package... HullWhite <- list(term = 0.055, alpha = 0.03, sigma = 0.01, gridIntervals = 40) Price <- rep(as.double(100),24) Type <- rep(as.character("C"), 24) Date <- seq(as.Date("2006-09-15"), by = '3 months', length = 24) callSch <- data.frame(Price, Type,

Hello, Does anyone know of a way I can speed this up? Basically I'm attempting to get the data item on the same row as the report date for each report date available. In reality, I have over 11k of columns, not just A, B, C, D and I have to do that over 100 times. My solution is slow, but it works. The loop is slow because of merge. # create sample data z.dates =

One thing to watch out for is adjustments: - if the data is not adjusted for dividends and splits then you may be able to just download data since your last download yourself but depending on what you want to do with the data you may get misleading results. For example, if the stock trades at $100 and there is a 2 for 1 split then the next day there will be twice as many shares with each share

I have a puzzle as to how R is computing Cook's distance in weighted linear regression. In this case cook's distance should be given not as in OLS case by h_ii*r_i^2/(1-hii)^2 divided by k*s^2 (1) (where r is plain unadjusted residual, k is number of parameters in model, etc. ) but rather by w_ii*h_ii*r_i^2/(1-hii)^2 divided by k*s^2,

Hi Quentin, Sorry for the delay, I've been bogged down with other things today. On 14 July 2015 at 18:48, Quentin Colombet <qcolombet at apple.com> wrote: >> >> * A rematerializable interval once split is no longer rematerializable * >> >> The isRematerializable check in CalcSpillWeights.cpp uses the target >> instruction info to check that the machine

Hi, I'm slowly working through Tsay's "Analysis of Financial Time Series" 3rd ed. ?I'm trying to replicate Table 2.1 on p.47, which gives PACF, AIC, and BIC for the monthly simple returns of the CRSP value-weighted index. The data: http://faculty.chicagobooth.edu/ruey.tsay/teaching/fts3/m-ibm3dx2608.txt > da <-

This is my first post to the mailing list and I guess it's a pretty stupid question but I can't figure it out. I hope this is the right forum for these kind of questions. Before I started using R I was using STATA to run a Wilcoxon signed-rank test on two variables. See data below:

Hello, I'm trying to do two things: -1. Ensure that I understand how quantmod adjust's OHLC data -2. Determine how I ought to adjust my data. My overarching-goal is to adjust my OHLC data appropriately to minimize the difference between my backtest returns, and the returns I would get if I was trading for real (which I'll be doing shortly). Background: -1. I'm using Alpha

On the transition from 2.1 to ToT some test cases on my JIT compiler are failing due to stack corruption. This is how it happens: the function define internal void @Addr_0x89c8b78([4 x i8]* sret) { %2 = bitcast [4 x i8]* %0 to i8* ; <i8*> [#uses=1] %3 = bitcast [4 x i8]* @0 to i8* ; <i8*> [#uses=1] tail call void @Addr_0x80f88d4(i8* inttoptr (i32 144403792 to i8*), i8* %3, i8*

>> As I understand it, when you generate native code, at each landing pad >> the exception pointer appears magically in a well-known native >> register. > Well, it's not entirely magical. :-) It gets the exception object by calling > __cxa_get_exception_ptr __cxa_get_exception_ptr returns an "adjusted" pointer to the exception object, but you still have to

Hello R users I'm using MuMIn but for some reason I'm not getting the adjusted confidence interval and uncoditional SE whe I use model.avg(). I took into consideration the steps provided by Grueber et al (2011) Multimodel inference in ecology and evolution: challenges and solutions in JEB. I created a global model to see if malaria prevalence (binomial distribution) is related to any

I am trying to install asterisk on fedora core 3 these are the steps i took: 1. download asterisk-1.0.7.tar.gz 2. make clean and make install and then it gives me these errors: "{standard input}:9975: Error: symbol `i' is already defined {standard input}:9978: Error: symbol `__result' is already defined {standard input}:9979: Error: symbol `__result' is already defined {standard

To All How does one get a list of functions from a loaded package so that one can then get the appropriate help for each of the functions. Currently my method is based on a lot of trial-and-error. Here's an example of what I mean... >From this forum I learn that an interesting package called "multtest" exists on Bioconductor. I then use R Console's "Packages" --

You can get help on the whole package by > help(package="multtest") which is likely pretty close to what you want. There's the index etc for the package on the web as well. You can also just look in the package's installation directory. If it's loaded you can do an ls(2) say if it loaded in position 2, to get all objects in the package. Reid -----Original Message-----

This is a follow-up to the thread ending with: http://rubyforge.org/pipermail/vpim-talk/2008/000120.html I too am in search of some ruby parser for icalendar which properly handles timezones on the datetimes in the icalendar RFC. As I understand it there are actually three types of times. 1) UTC times with a string form of yyyymmddThhmmssZ note the trailing Z indicates zulu time aka utc. 2)