malcontented
发表于 2025-3-21 17:01:13
书目名称Linear Mixed-Effects Models Using R影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0586338<br><br> <br><br>书目名称Linear Mixed-Effects Models Using R影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0586338<br><br> <br><br>书目名称Linear Mixed-Effects Models Using R网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0586338<br><br> <br><br>书目名称Linear Mixed-Effects Models Using R网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0586338<br><br> <br><br>书目名称Linear Mixed-Effects Models Using R被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0586338<br><br> <br><br>书目名称Linear Mixed-Effects Models Using R被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0586338<br><br> <br><br>书目名称Linear Mixed-Effects Models Using R年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0586338<br><br> <br><br>书目名称Linear Mixed-Effects Models Using R年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0586338<br><br> <br><br>书目名称Linear Mixed-Effects Models Using R读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0586338<br><br> <br><br>书目名称Linear Mixed-Effects Models Using R读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0586338<br><br> <br><br>
Banister
发表于 2025-3-21 22:19:30
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Foregery
发表于 2025-3-22 03:31:35
Fitting Linear Models with Homogeneous Variance: The , and , FunctionsIn ., we outlined several concepts related to the classical LM. In the current chapter, we review the tools available in . for fitting the model.
血友病
发表于 2025-3-22 05:27:57
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眨眼
发表于 2025-3-22 10:41:43
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谄媚于性
发表于 2025-3-22 13:54:12
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Ceramic
发表于 2025-3-22 19:52:01
Fitting Linear Models with Fixed Effects and Correlated Errors: The ,FunctionIn ., we summarized the main concepts underlying the construction of the LM with fixed effects and correlated residual errors for normally distributed, grouped data. An important component of the model is the correlation function, which is used to take into account the correlation between the observations belonging to the same group.
男学院
发表于 2025-3-22 23:12:32
Fitting Linear Mixed-Effects Models: The ,FunctionIn Chap. 13 we summarized the main theoretical concepts underlying the construction of LMMs. Compared to the LMs introduced in Chaps. 4, 7, and 10, LMMs allow taking the hierarchical structure of data into account in the analysis. This is achieved by introducing, in addition to the mean (fixed-effects) structure, a randomeffects structure.
催眠
发表于 2025-3-23 02:55:56
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Leisureliness
发表于 2025-3-23 07:06:40
https://doi.org/10.1007/978-1-4614-3900-4Correlated data; Linear mixed-effects models; Linear models; Mixed-effects models; R