dot-sampling: Obtain the joint posterior distribution of the parameters of...
In chris-prener/falseProphet: Automatic Forecasting Procedure
.sampling R Documentation
Obtain the joint posterior distribution of the parameters of the Prophet
model using MCMC sampling.
Description
Obtain the joint posterior distribution of the parameters of the Prophet
model using MCMC sampling.
Usage
.sampling(args, backend)
Arguments
args
Named list of arguments suitable for the chosen backend. Must
include arguments required for MCMC sampling.
backend
"rstan" or "cmdstanr".
Value
A named list containing "stan_fit" (the fitted stan object),
"params", and "n_iteration"
chris-prener/falseProphet documentation built on April 15, 2022, 12:04 a.m.
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| .sampling | R Documentation |
Obtain the joint posterior distribution of the parameters of the Prophet model using MCMC sampling.
Description
Obtain the joint posterior distribution of the parameters of the Prophet model using MCMC sampling.
Usage
.sampling(args, backend)
Arguments
args |
Named list of arguments suitable for the chosen backend. Must include arguments required for MCMC sampling. |
backend |
"rstan" or "cmdstanr". |
Value
A named list containing "stan_fit" (the fitted stan object), "params", and "n_iteration"
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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