fit_ts_model_with_brm: Fit time series model with bayesian regression model

In ready4-dev/specific: Specify Models to Solve Inverse Problems

Fit time series model with bayesian regression model

Description

fit_ts_model_with_brm() is a Fit function that fits a model of a specified type to a dataset Specifically, this function implements an algorithm to fit time series model with bayesian regression model. The function returns Model list (a list of models).

Usage

fit_ts_model_with_brm(
  data_tb,
  depnt_var_nm_1L_chr,
  family_fn_1L_chr,
  id_var_nm_1L_chr,
  predr_vars_nms_chr,
  backend_1L_chr = getOption("brms.backend", "rstan"),
  control_ls = NULL,
  is_csnl_1L_lgl = F,
  iters_1L_int = 4000L,
  seed_1L_int = 1000L,
  prior_ls = NULL
)

Arguments

data_tb	Data (a tibble)
depnt_var_nm_1L_chr	Dependent variable name (a character vector of length one)
family_fn_1L_chr	Family function (a character vector of length one)
id_var_nm_1L_chr	Identity variable name (a character vector of length one)
predr_vars_nms_chr	Predictor variables names (a character vector)
backend_1L_chr	Backend (a character vector of length one), Default: getOption("brms.backend", "rstan")
control_ls	Control (a list), Default: NULL
is_csnl_1L_lgl	Is cross-sectional (a logical vector of length one), Default: F
iters_1L_int	Iterations (an integer vector of length one), Default: 4000
seed_1L_int	Seed (an integer vector of length one), Default: 1000
prior_ls	Prior (a list), Default: NULL

Value

Model list (a list of models)

ready4-dev/specific documentation built on Oct. 13, 2023, 7:54 a.m.