get_brms_mdl: Get bayesian regression models model
In ready4-dev/specific: Specify Models to Solve Inverse Problems
get_brms_mdl R Documentation
Get bayesian regression models model
Description
get_brms_mdl() is a Get function that retrieves a pre-existing data object from memory, local file system or online repository. Specifically, this function implements an algorithm to get bayesian regression models model. Function argument outp_smry_ls specifies the where to look for the required object. The function returns Bayesian regression models (a model).
Usage
get_brms_mdl(outp_smry_ls, mdl_nm_1L_chr)
Arguments
outp_smry_ls
Output summary (a list)
mdl_nm_1L_chr
Model name (a character vector of length one)
Value
Bayesian regression models (a model)
ready4-dev/specific documentation built on Oct. 13, 2023, 7:54 a.m.
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| get_brms_mdl | R Documentation |
Get bayesian regression models model
Description
get_brms_mdl() is a Get function that retrieves a pre-existing data object from memory, local file system or online repository. Specifically, this function implements an algorithm to get bayesian regression models model. Function argument outp_smry_ls specifies the where to look for the required object. The function returns Bayesian regression models (a model).
Usage
get_brms_mdl(outp_smry_ls, mdl_nm_1L_chr)
Arguments
outp_smry_ls |
Output summary (a list) |
mdl_nm_1L_chr |
Model name (a character vector of length one) |
Value
Bayesian regression models (a model)
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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