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baurley / Mixed.SVM

A Bayesian mixed effects Support Vector Machine for learning and predicting daily substance use disorder patterns
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Not so much an issue, but a question. #1

Open c-silos opened 2 years ago

c-silos commented 2 years ago

Hello,

I have a data set that is repeated measures, but the outcome and some of the covariates are continuous variables. Will the Mixed.SVM function be able to work with continuous data? I am attempting to use it with continuous data but I get the following error "Error in optim(rep(0, dim(X)[2]), SVM.obj, Y = Y, X = X, h = h, nu = nu, : function cannot be evaluated at initial parameters"

Any help or guidance would be appreciated.

Thank you.

baurley commented 2 years ago

Hi, thanks for trying out Mixed.SVM and contacting me. Currently the algorithm is set up for binary outcomes. We are planning to add analysis tools for continuous outcomes but those aren’t implemented yet.

On Mar 21, 2022, at 2:48 PM, c-silos @.***> wrote:

Hello,

I have a data set that is repeated measures, but the outcome and some of the covariates are continuous variables. Will the Mixed.SVM function be able to work with continuous data? I am attempting to use it with continuous data but I get the following error "Error in optim(rep(0, dim(X)[2]), SVM.obj, Y = Y, X = X, h = h, nu = nu, : function cannot be evaluated at initial parameters"

Any help or guidance would be appreciated.

Thank you.

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