[R] Unexpected failure of Cholesky docomposition

My understanding is that a Cholesky decomposition should work on any square, positive definite matrix. I am encountering an issue where chol() fails and give the error: "the leading minor of order 3 is not positive definite" This occurs on multiple machines and version of R. Here is a minimal

Re: [R] Unexpected failure of Cholesky docomposition

EIwLveBpn4R4Q=1NN3MX73Jjmlphkfkm-NlTB-XWOrrMMN3zOGzX3y0RE=> On Tue, Nov 13, 2018 at 7:30 AM, Hoffman, Gabriel mailto:gabriel.hoff...@mssm.edu>> wrote: My understanding is that a Cholesky decomposition should work on any square, positive definite matrix. I am encountering an issue where

[R] Speed of RCppEigen Cholesky decomposition on sparse matrix

I am developing a statistical model and I have a prototype working in R code. I make extensive use of sparse matrices, so the R code is pretty fast, but hoped that using RCppEigen to evaluate the log-likelihood function could avoid a lot of memory copying and be substantially faster. However,

[R] Basic XML function not working

I am having an issue with the XML package failing on a basic function. This makes packages that depend on this function also fail: > library(XML) > newXMLNode("bob") I/O error : flush error I can’t find any reference to the error online > sessionInfo() R version 3.6.0 (2019-04-26) Platform: