vb_wrap: Variational Bayes wrapper function.
In willtownes/vamf: Varying-Censoring Aware Matrix Factorization
Description
Usage
Arguments
Value
Description
Convenience function for parallelizing calls to VB.
Usage
1
vb_wrap(svmult, stmod, ss, resnames, output_samples)
Arguments
svmult
Scalar multiplier to increase or decrease the sigma_v scale hyperparameter.
stmod
An object of class stanmodel.
ss
A list of sufficient statistics from init_ss.
resnames
A string vector of parameter names to be included in output.
output_samples
How many samples from the approximate posterior to estimate the posterior mean of each parameter.
Value
A list with components stan_vb_fit (the result from Stan) and logtxt (the log of Stan output).
willtownes/vamf documentation built on May 8, 2019, 9:31 a.m.
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Description Usage Arguments Value
Description
Convenience function for parallelizing calls to VB.
Usage
1 | vb_wrap(svmult, stmod, ss, resnames, output_samples)
|
Arguments
svmult |
Scalar multiplier to increase or decrease the sigma_v scale hyperparameter. |
stmod |
An object of class |
ss |
A list of sufficient statistics from |
resnames |
A string vector of parameter names to be included in output. |
output_samples |
How many samples from the approximate posterior to estimate the posterior mean of each parameter. |
Value
A list with components stan_vb_fit (the result from Stan) and logtxt (the log of Stan output).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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