R语言 logistic回归预测模型

R语言中的logistic回归预测模型是通过调用广义线性回归模型函数glm()来实现的。该模型可以用于分析和预测未来的人口数量。在建立模型时，可以使用logistic模型来拟合数据并进行预测。为了对模型进行评价，可以使用临床诊断模型的方法来进行评估。具体的步骤包括引用R包和建立预测模型。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* [R语言用logistic逻辑回归和AFRIMA、ARIMA时间序列模型预测世界人口](https://blog.csdn.net/qq_19600291/article/details/125597994)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *3* [R语言logistic临床预测模型.rar](https://download.csdn.net/download/2301_78834737/87981260)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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