Brown, V. A. (2021). An Introduction to Linear Mixed-Effects Modeling in R. Advances in Methods and Practices in Psychological Science.https://doi.org/10.1177/2515245920960351 这是一个基于R实现线性混合效应模型的理论介绍和教程,尽量使用简单易懂的统计学知识来解释, 同时为了方便学习者自己模拟学习,在...
If you are interested in diving into statistical models, go ahead and check the course on Statistical Modeling in R. Enhance Your Team's Data Skills with Continuous Learning As linear regression forms the foundation of many advanced analytical techniques, ensuring your team has a strong grasp of...
science r statistics research analysis tidyverse academic regression rstats logistic-regression tidy linear-models negative-binomial-regression latent-variables structural-equation-modeling general-linear-model poisson-regression mkearney-r-package robust-regression tidyversity Updated Aug 2, 2018 R psych...
A complete overview to understanding multiple linear regressions in R through examples. Zoumana Keita 12 min Tutorial R Formula Tutorial Discover the R formula and how you can use it in modeling- and graphical functions of well-known packages such as stats, and ggplot2. ...
If your goal with linear modeling is the interpretation of individual predictors, you want to ensure that correlation between variables in the model is minimal to avoid multicollinearity. This means checking for these correlations before modeling. Sometimes it is useful to combine correlated variables ...
Dataquest has a great article on predictive modeling, using some of the demo datasets available to R. I wanted to use real world data, so I saved 20 years of team stats from Pro Football Reference as CSV files. As described in the article, I collected the various stats and then normalize...
A Buja,R Berk,L Brown,... 被引量: 10发表: 2014年 Robustness issues in structural equation modeling: a review of recent developments while ML wil generally fail, see Mooijaart and Satorra (1987).In regresion analysis the usual method for detecting heteroskedasticity is by looking at re......
Panels and acronyms parallel those in Fig. 2. a, The distribution of cross-validated regional \({R}_{i}^{2}\), combined across all electrodes (the number of which varies among participants) and all the recording sessions of the 122 participants (sample size = 776,484). Linear and...
Static modeling of heterogeneous objects 3.4.1 Linear interpolation The internal material information of the heterogeneous microtetrahedron can be obtained by the spatial linear interpolation of the object surface material described above. Fig. 3.24 shows point Pn in the microtetrahedron, and the material...