登录
首页 » R language » 11-27-model

11-27-model

于 2018-03-19 发布 文件大小:1KB
0 337
下载积分: 1 下载次数: 1

代码说明:

  利用R软件建立混合效应模型,对于不同随机效应参数的混合模型进行对比(develop the mixed-effects models and compare the goodness-of-fit)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • vtest
    说明:  基于R语言的空气质量数据分析与预测,包括可视化方法处理数据、回归分析与预测(R code for air quality data analysis and prediction)
    2020-11-29 15:26:07下载
    积分:1
  • cmd
    制作pcoa、饼图、venn图、热图、柱状图的脚本,可直接改参数使用,内有注释,适用于微生物多样性(the Script to make PCOA)
    2020-06-20 01:40:01下载
    积分:1
  • 因子分析案例和R语言代码
    说明:  因子分析:包括案例和对应的R语言代码,代码中地址需要自行修改后使用(Factor analysis: including a case and corresponding R language code, the address in the code needs to be modified by itself)
    2020-08-11 10:58:28下载
    积分:1
  • spatial autocorrelation
    利用R语言进行两个变量的空间自相关分析,从而进行克里金插值(The spatial autocorrelation analysis of two variables is carried out by using R language.)
    2018-08-07 09:59:00下载
    积分:1
  • R
    说明:  R语言舍选法、极坐标法、Box-Muller变换产生正态随机变量(R Language Rounding Method, Polar Coordinate Method and Box-Muller Transform to Generate Normal Random Variables)
    2021-04-22 21:58:48下载
    积分:1
  • 拟合优度卡方检验
    说明:  对卡方检验进行拟合,计算理论分布,计算理论概率,作出检验(Fit chi square test, calculate theoretical distribution, calculate theoretical probability and make test)
    2020-04-10 11:12:46下载
    积分:1
  • SWD
    计算CVAR 条件下的最有权重,主要针对股票收益率进行分析(compute the optimal weight under CVAR condition)
    2021-01-05 23:28:54下载
    积分:1
  • bootRes包算相关系数
    R 语言 bootRes包算相关系数 计算bootstrapped 相关系数(calculate bootstrapped correlation)
    2021-04-19 11:38:54下载
    积分:1
  • did
    双重差分估计 双重差分模型(difference-in-difference,DID)近年来多用于计量经济学中对于公共政策或项目实施效果 的定量评估。 通常大范围的公共政策有别于普通科研性研究,难以保证对于政策实施组和对照组在样本分配上的完全随机。非随机分配政策实施组和对照组的试验称为自然试验(naturaltrial),此类试验存在较显著的特点,即不同组间样本在政策实施前可能存在事前差异,仅通过单一前后对比或横向对比的分析方法会忽略这种差异,继而导致对政策实施效果的有偏估计。(Quantitative evaluation of policy or project implementation effect. Generally, a wide range of public policies is different from general scientific research, and it is difficult to ensure that the sample allocation for the policy implementation group and the control group is completely random. The non-randomly assigned policy implementation group and the control group are called natural trials, which have significant characteristics, i.e. there may be prior differences between the different groups of samples before the implementation of the policy, and this difference will be ignored only through a single pre-and post-comparison or horizontal comparison analysis method, which leads to the policy. Biased estimation of implementation)
    2020-07-03 20:00:01下载
    积分:1
  • garch预测波动率
    说明:  利用R语言,根据GARCH模型进行波动率的预测。(GARCH model is used to forecast volatility.)
    2020-02-29 02:09:34下载
    积分:1
  • 696516资源总数
  • 106436会员总数
  • 7今日下载