R: Summarise the coefficients of the extra regressors used in...

regressor_coefficients {prophet} | R Documentation

## Summarise the coefficients of the extra regressors used in the model. For additive regressors, the coefficient represents the incremental impact on `y` of a unit increase in the regressor. For multiplicative regressors, the incremental impact is equal to `trend(t)` multiplied by the coefficient.

### Description

Coefficients are measured on the original scale of the training data.

### Usage

    regressor_coefficients(m)

### Arguments

`m` | Prophet model object, after fitting.

### Details

Output dataframe columns:

- regressor: Name of the regressor

- regressor_mode: Whether the regressor has an additive or multiplicative effect on `y`.

- center: The mean of the regressor if it was standardized. Otherwise 0.

- coef_lower: Lower bound for the coefficient, estimated from the MCMC samples. Only different to `coef` if `mcmc_samples > 0`.

- coef: Expected value of the coefficient.

- coef_upper: Upper bound for the coefficient, estimated from MCMC samples. Only to different to `coef` if `mcmc_samples > 0`.

### Value

Dataframe with one row per regressor.

[Package prophet version 1.0 Index]