search for: afun

Hi, The 2 man pages give inconsistent description of class(): Found in ?class: If the object does not have a class attribute, it has an implicit class, ?"matrix"?, ?"array"? or the result of ?mode(x)? (except that integer vectors have implicit class ?"integer"?). Found in ?UseMethod: Matrices and arrays have class ?"matrix"?

...mp; cat t.o.ll ; ModuleID = '2.o' source_filename = "2.ll" target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128" target triple = "x86_64-unknown-linux-gnu" @X = constant i32 42, section "foo", align 4 @a = weak alias i32, i32* @X define void @afun() { %1 = load i32, i32* @a ret void } define void @testtest() { tail call void @boop() ret void } declare void @boop() ; Module summary: ; testtest (External linkage) ; Function (2 instructions) ; Calls: boop ; X (External linkage) ; Global Variable ; afun (External linkage)...

...ctionInliningPass(); pm_builder.populateModulePassManager(pm); /// @brief Create function type (void) => i32 llvm::FunctionType *commonfuncType = llvm::FunctionType::get(llvm::Type::getInt32Ty(context), {}, false); /// @brief Create a function (define i32 a()) llvm::Function *aFun = llvm::Function::Create(commonfuncType, llvm::Function::PrivateLinkage, "a", module.get()); /// @brief Create a function (define i32 b()) llvm::Function *bFun = llvm::Function::Create(commonfuncType, llvm::Function::PrivateLinkage, "b", module.get()); /// @bri...

...l" >> target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128" >> target triple = "x86_64-unknown-linux-gnu" >> >> @X = constant i32 42, section "foo", align 4 >> >> @a = weak alias i32, i32* @X >> >> define void @afun() { >> %1 = load i32, i32* @a >> ret void >> } >> >> define void @testtest() { >> tail call void @boop() >> ret void >> } >> >> declare void @boop() >> >> ; Module summary: >> ; testtest (External linkage) >&g...

...f80:128-n8:16:32:64-S128" >>>> target triple = "x86_64-unknown-linux-gnu" >>>> >>>> @X = constant i32 42, section "foo", align 4 >>>> >>>> @a = weak alias i32, i32* @X >>>> >>>> define void @afun() { >>>> %1 = load i32, i32* @a >>>> ret void >>>> } >>>> >>>> define void @testtest() { >>>> tail call void @boop() >>>> ret void >>>> } >>>> >>>> declare void @boop() &g...

I am trying to use the function "nlm" to find the mle. I want to use a generic function for the likelihood which would require me to use both the parameters and the data as arguments. But nlm requires the function to have only the parameters as arguments for this function (see example below). > testfun <- function(x,y) sum((x-y)^2) # x - parameters, y - data >

...l" >> target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128" >> target triple = "x86_64-unknown-linux-gnu" >> >> @X = constant i32 42, section "foo", align 4 >> >> @a = weak alias i32, i32* @X >> >> define void @afun() { >> %1 = load i32, i32* @a >> ret void >> } >> >> define void @testtest() { >> tail call void @boop() >> ret void >> } >> >> declare void @boop() >> >> ; Module summary: >> ; testtest (External linkage) >&g...

...l" >> target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128" >> target triple = "x86_64-unknown-linux-gnu" >> >> @X = constant i32 42, section "foo", align 4 >> >> @a = weak alias i32, i32* @X >> >> define void @afun() { >> %1 = load i32, i32* @a >> ret void >> } >> >> define void @testtest() { >> tail call void @boop() >> ret void >> } >> >> declare void @boop() >> >> ; Module summary: >> ; testtest (External linkage) >&g...

...ternalLinkage > NotEligibleToImport: false > Live: false > a: > - Kind: Alias > Linkage: WeakAnyLinkage > NotEligibleToImport: false > Live: false > AliaseeGUID: 1881667236089500162 > afun: > - Kind: Function > Linkage: ExternalLinkage > NotEligibleToImport: false > Live: false > InstCount: 2 > testtest: > - Kind: Function > Linkage: ExternalLinkage > NotEli...

...Live: false >>> a: >>> - Kind: Alias >>> Linkage: WeakAnyLinkage >>> NotEligibleToImport: false >>> Live: false >>> AliaseeGUID: 1881667236089500162 >>> afun: >>> - Kind: Function >>> Linkage: ExternalLinkage >>> NotEligibleToImport: false >>> Live: false >>> InstCount: 2 >>> testtest: >>> - Kind: Function >&...

...f80:128-n8:16:32:64-S128" >>>> target triple = "x86_64-unknown-linux-gnu" >>>> >>>> @X = constant i32 42, section "foo", align 4 >>>> >>>> @a = weak alias i32, i32* @X >>>> >>>> define void @afun() { >>>> %1 = load i32, i32* @a >>>> ret void >>>> } >>>> >>>> define void @testtest() { >>>> tail call void @boop() >>>> ret void >>>> } >>>> >>>> declare void @boop() &g...

Dear all, After a thorough research, I still find myself unable to find a function that does linear regression of 2 vectors of data using the "total least squares", also called "orthogonal regression" (see : http://en.wikipedia.org/wiki/Total_least_squares) instead of the "ordinary least squares" method. Indeed, the "lm" function has a

Thomas Lumley writes: > > > I've been trying to get Matt Calder's S compiler to work in R using R > COMPILE and R SHLIB so it will be fairly platform-independent. > > I'm sure someone has claimed in the past that it is possible/easy to > dyn.load() two dynamic libraries and have one call functions in the other. > I can't get it to work (Red Hat

...Alias >>>>>>> Linkage: WeakAnyLinkage >>>>>>> NotEligibleToImport: false >>>>>>> Live: false >>>>>>> AliaseeGUID: 1881667236089500162 >>>>>>> afun: >>>>>>> - Kind: Function >>>>>>> Linkage: ExternalLinkage >>>>>>> NotEligibleToImport: false >>>>>>> Live: false >>>>>>> InstCount:...