Web"Error in optim (start, f, method = method, hessian = TRUE, ...) : initial value in 'vmmin' is not finite" Maybe is because i have not fully understood wich are the values of the parameters that i have to put into mle () Where am i wrong? Thanks a lot for the reading 4 comments 100% Upvoted This thread is archived WebMay 28, 2024 · I could resolve all issues regarding optimization problems like the above one. These problems arose since in the joint iteration the parameter vector passed to constrOptim was sometimes slightly outside the allowed range, or slightly improper / nonmonotone as of numerical problems of constrOptim.. In branch issue_11 I now …
R: Error with polr(): initial value in
WebApr 30, 2012 · Error in optim: inital value 'vmmin' is not finite. What I have observed so far So I started to debug my code to find out where exactly this error occurs. The error occurs in the function g (see below) in the line ( with the values sigma=5,m=-5,y= (x-m)/sigma,vtilde=v/12) Web>>Error in optim(c(0, 0, 0, 0, 0.1, -2, -0.2), fr, hessian = TRUE, method = "BFGS") : initial value in 'vmmin' is not finite >What does this mean? and how can I correct it? It means that your function at your starting values is evaluating to a buckling k factors
Error in optim : non-finite value supplied by optim
WebInitial value in ‘vmmin’ is not finite even when changing the starting value. tl;dr your model needs 4 parameters, but you only gave 3 parameters in the starting vector. I figured this out by (1) trying OLS (c (1,1,1),y=y,z=z) (to confirm that the return value is NA at the starting value); (2) setting debug (OLS) and stepping through it. WebNov 29, 2024 · This message pops up with a number of open source R packages. It typically means the algorithm's optimization function is unable to go further, perhaps due to multicollinearity issues, or lack of variance in the data. There are more flexible packages out there, and you may want to try a zero-inflated negative binomial model, which removes the … WebJun 12, 2024 · If they're all constant then they will be non-positive-definite (i.e. not legal variance-covariance matrices) and dmvnorm will return a non-finite value ... – Ben Bolker … buckling in civil engineering