Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 package for R. As for most model-fitting functions in R, the model is described in an lmer call by a form...
内容提示: Fitting Linear Mixed-Effects Models using lme4Douglas BatesU. of Wisconsin - MadisonMartin MächlerETH ZurichBenjamin M. BolkerMcMaster UniversitySteven C. WalkerMcMaster UniversityAbstractMaximum likelihood or restricted maximum likelihood (REML) estimates of the pa-rameters in linear mixed-...
线性混合效应模型中参数的最大似然或限制最大似然(REML)估计可以使用R的lme4包中的lmer函数来确定。对于R中的大多数模型拟合函数,模型在lmer中描述通过公式调用,在这种情况下包括固定和随机效应项。公式和数据一起确定模型的数值表示,从中可以评估轮廓偏差或轮廓REML准则作为一些模型参数的函数。使用R中的约束优化函数...
rameters in linear mixed-effects models can be determined using the lmer function in the lme4 package for R. As for most model-fitting functions in R, the model is described in an lmer call by a formula, in this case including both fixed- and random-effects terms. ...
Fitting Linear Mixed-Effects Models Using lme4 Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer func... D Bates,M Mächler,B Bolker,... - 《Statistics & Computing》 被引量: 1.2万发表: ...
Fitting Linear Mixed-Effects Models Using lme4 Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer func... D Bates,M Mächler,B Bolker,... - 《Statistics & Computing》 被引量: 1.2万发表: 2014...
Fitting Linear Mixed-Effects Models Using lme4Fitting a mixture model by expectation maximization to discover motifs in biopolymers.Fitting a mixture model by expectation maximization to discover motifs in biopolymers: Menlo Park, California.Locally Weighted Regression: An Approach to Regression Analysis ...
Fitting Linear Mixed-Effects Models Using lme4 Fitting a mixture model by expectation maximization to discover motifs in biopolymers. Fitting a mixture model by expectation maximization to discover motifs in biopolymers: Menlo Park, California.
Additional generics such as fitted or resid can be used to obtain more information on the models. Suppose we would like to evaluate the relative performance of the two methods. This becomes exceedingly simple using the yardstick package: model_frame %>% # Generate predictions predict(df_test) ...
Fitting Linear Mixed-Effects Models Using lme4 Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer func... D Bates,M Mächler,B Bolker,... - 《Statistics & Computing》 被引量: 1.2万发表: 2014...