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- % Generated by roxygen2: do not edit by hand
- % Please edit documentation in R/prophet.R
- \name{add_regressor}
- \alias{add_regressor}
- \title{Add an additional regressor to be used for fitting and predicting.}
- \usage{
- add_regressor(m, name, prior.scale = NULL, standardize = "auto",
- mode = NULL)
- }
- \arguments{
- \item{m}{Prophet object.}
- \item{name}{String name of the regressor}
- \item{prior.scale}{Float scale for the normal prior. If not provided,
- holidays.prior.scale will be used.}
- \item{standardize}{Bool, specify whether this regressor will be standardized
- prior to fitting. Can be 'auto' (standardize if not binary), True, or
- False.}
- \item{mode}{Optional, 'additive' or 'multiplicative'. Defaults to
- m$seasonality.mode.}
- }
- \value{
- The prophet model with the regressor added.
- }
- \description{
- The dataframe passed to `fit` and `predict` will have a column with the
- specified name to be used as a regressor. When standardize='auto', the
- regressor will be standardized unless it is binary. The regression
- coefficient is given a prior with the specified scale parameter.
- Decreasing the prior scale will add additional regularization. If no
- prior scale is provided, holidays.prior.scale will be used.
- Mode can be specified as either 'additive' or 'multiplicative'. If not
- specified, m$seasonality.mode will be used. 'additive' means the effect of
- the regressor will be added to the trend, 'multiplicative' means it will
- multiply the trend.
- }
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