## Usage

use_constant(values = c(FALSE, TRUE))

outliers_treatment(values = c("ignore", "use", "select"))

probability_model(
values = c("none", "auto", "fixed", "general", "odds-ratio", "inverse-odds-ratio",
"direct")
)

distribution(
values = c("default", "dnorm", "dlaplace", "ds", "dgnorm", "dlnorm", "dinvgauss",
"dgamma")
)

information_criteria(values = c("AICc", "AIC", "BICc", "BIC"))

select_order(values = c(FALSE, TRUE))

## Arguments

values

A character string of possible values.

## Value

A dials parameter

A parameter

A parameter

A parameter

A parameter

A parameter

A parameter

A parameter

## Details

The main parameters for ADAM models are:

• non_seasonal_ar: The order of the non-seasonal auto-regressive (AR) terms.

• non_seasonal_differences: The order of integration for non-seasonal differencing.

• non_seasonal_ma: The order of the non-seasonal moving average (MA) terms.

• seasonal_ar: The order of the seasonal auto-regressive (SAR) terms.

• seasonal_differences: The order of integration for seasonal differencing.

• seasonal_ma: The order of the seasonal moving average (SMA) terms.

• use_constant: Logical, determining, whether the constant is needed in the model or not.

• regressors_treatment: The variable defines what to do with the provided explanatory variables.

• outliers_treatment: Defines what to do with outliers.

• probability_model: The type of model used in probability estimation.

• distribution: What density function to assume for the error term.

• information_criteria: The information criterion to use in the model selection / combination procedure.

• select_order: If TRUE, then the function will select the most appropriate order.

## Examples

use_constant()
#> Warning: The default argument of new_qual_param() is deprecated as of dials 1.1.0.
#> ℹ The deprecated feature was likely used in the modeltime package.
#>   Please report the issue at
#> Logical, determining, whether the constant is needed in the model or not  (qualitative)
#> 2 possible values include:
#> FALSE and TRUE

regressors_treatment()
#> The variable defines what to do with the provided explanatory variables.  (qualitative)
#> 3 possible values include: