% 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") } \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.} } \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. }