% 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.
}