Get Parameter Names of the dynamite Model

Extracts all parameter names of used in the dynamitefit object.

Usage

get_parameter_names(x, types = NULL, ...)

# S3 method for class 'dynamitefit'
get_parameter_names(x, types = NULL, ...)

Arguments

x

[dynamitefit]
The model fit object.

types

[character()]
Extract only names of parameter of a certain type. See get_parameter_types().

...

Ignored.

Value

A character vector with parameter names of the input model.

Details

The naming of parameters generally follows style where the name starts with the parameter type (e.g. beta for time-invariant regression coefficient), followed by underscore and the name of the response variable, and in case of time-invariant, time-varying or random effect, the name of the predictor. An exception to this is spline coefficients omega, which also contain the number denoting the knot number.

See also

Model outputs as.data.frame.dynamitefit(), as.data.table.dynamitefit(), as_draws_df.dynamitefit(), coef.dynamitefit(), confint.dynamitefit(), dynamite(), get_code(), get_data(), get_parameter_dims(), get_parameter_types(), ndraws.dynamitefit(), nobs.dynamitefit()

Examples

data.table::setDTthreads(1) # For CRAN
get_parameter_names(multichannel_example_fit)
#>  [1] "alpha_g"                 "beta_g_g_lag1"          
#>  [3] "beta_g_logp_lag1"        "sigma_g"                
#>  [5] "alpha_p"                 "beta_p_g_lag1"          
#>  [7] "beta_p_logp_lag1"        "beta_p_b_lag1"          
#>  [9] "alpha_b"                 "beta_b_g_lag1"          
#> [11] "beta_b_logp_lag1"        "beta_b_b_lag1"          
#> [13] "beta_b_b_lag1:logp_lag1" "beta_b_b_lag1:g_lag1"