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Hello. I am trying to optimize a set of parameters using /optim/ in which the actual function to be minimized contains matrix multiplication and is of the form: SUM ((A%*%X - B)^2) where A is a matrix and X and B are vectors, with X as parameter vector. This has worked well so far. Recently, I was given a data set A of size 360440 x 1173, which could not be handled as a normal matrix. I

Hello. I am trying to invert a matrix, and I am finding that I can get different answers depending on whether I set LAPACK true or false using "qr". I had understood that LAPACK is, in general more robust and faster than LINPACK, so I am confused as to why I am getting what seems to be invalid answers. The matrix is ostensibly the Hessian for a function I am optimizing. I want to get

Hello. I seem to be having the same problem that Paul had in the thread titled "[Rd] R 2.15.2 make check failure on 32-bit --with-blas="-lgoto2"" from October of last year <https://stat.ethz.ch/pipermail/r-devel/2012-October/065103.html> Unfortunately, that thread ended without an answer to his last question. Briefly, I am trying to compile an Rblas for Windows NT 32bit

Hello. The sentence in extractAIC's help <http://www.stat.psu.edu/~dhunter/R/html/stats/html/extractAIC.html> which discusses AIC's estimate of -2logL from RSS reads: "AIC only handles unknown scale and uses the formula n log (RSS/n) - n + n log 2pi - sum(log w) where w are the weights. Further AIC counts the scale estimation as a parameter in the edf and extractAIC does

Good afternoon. The ISC (Internet Software Consortium) license[1] is a permissive, open-source license that is considered "functionally equivalent"[2] to the Simplified (2-clause) BSD[3] and MIT[4] licenses, but with extraneous language removed. There is at least one package on CRAN which incorporates some code using it[5]. Are there plans to include this license in the list at

Hello. When trying to compile R-3.0.2 on Windows 7 64bit, I get an error relating to "alone_decoder.c: Permission denied." The entire error code is copied below. gcc -std=gnu99 -m64 -shared -o Riconv.dll Riconv.def win_iconv.o touch stamp gcc -std=gnu99 -m64 -I../../include -I. -Iapi -DLZMA_API_STATIC -DHAVE_CONFIG_H -DWIN32 -O3 -Wall -pedantic -march=core-avx-i -O3 --param

Hello. Has any further action been taken regarding implementing David Simcha's fast Kendall tau code (now found in the package pcaPP as cor.fk) into R-base? It is literally hundreds of times faster, although I am uncertain as to whether he wrote code for testing the significance of the parameter. The last mention I have seen of this was in 2010

Hello, I have been trying for weeks to compile a 64-bit Rblas. I started with ATLAS where I have had success in the past, but 64 bit was not behaving, and as each compilation takes between 9 and 12 hours, "test, check, and revise" was not going to be really viable. I therefore switched to OpenBLas (OPBL). I was successful in compiling R-3.0.1 and an OPBL-based BLAS for Windows 64bit

Hello. I am trying to build R on Windows. It appears that my build passes the various "make checks" (unless I missed some error) and running Rterm seems to work fine whereas Rgui has an immediate error stating " AppName: rgui.exe AppVer: 2.150.58871.0 ModName: rzlib.dll ModVer: 0.0.0.0 Offset: 0000a9e5 The taskbar still works, but the console window has nothing in it, and

Good afternoon. I am trying to compile a version of Rblas.dll based on ATLAS for the Corei7. I had remembered that there was mention of which file to adjust and that "xerbla" needed to be removed from one of the outputs from the last time I tried a few years ago. The most recent version of the R Installation manual does not say anything about this. An older version (2.10 I believe) has

Hello. I am not certain even how to search the archives for this particular question, so if there is an obvious answer, please smack me with a large halibut and send me to the URLs. I have been experimenting with fitting curves by using both maximum likelihood and maximum spacing estimation techniques. Originally, I have been writing distribution-specific functions in 'R' which work