model_list <- prophet(WHO_data_list, growth = "logistic", changepoints = None, n_changepoints = 25, changepoint_range = 0.8, yearly_seasonality = T, weekly_seasonality = F, daily_seasonality = F, holidays= None, seasonality_mode = 'multiplicative', seasonality_prior_scale = 10.0, holidays_prior_scale = 10.0, changepoint_prior_scale = 0.05, mcmc_samples = 0, interval_width = 0.95, uncertainty_samples = 1000, stan_backend = None)

这是一个使用 Prophet 模型对 WHO_data_list 进行时间序列预测的代码。在该模型中，使用了逻辑增长模型（growth = "logistic"），没有设置特殊的变化点（changepoints = None），设置了25个变化点（n_changepoints = 25），变化点范围为80%（changepoint_range = 0.8），启用了年度季节性（yearly_seasonality = T），未启用周季节性和日季节性（weekly_seasonality = F, daily_seasonality = F），没有添加节假日信息（holidays= None），季节性模式为乘法模式（seasonality_mode = 'multiplicative'），季节性先验比例为10.0（seasonality_prior_scale = 10.0），节假日先验比例为10.0（holidays_prior_scale = 10.0），变化点先验比例为0.05（changepoint_prior_scale = 0.05），采样次数为0（mcmc_samples = 0），置信区间为95%（interval_width = 0.95），不确定性采样次数为1000（uncertainty_samples = 1000），后端使用默认值（stan_backend = None）。