Tag: AMIB

Data Management and Data Viz in R

W: Specifying Multilevel Recursive Partitioning Models in R

Files Session W – Lab – Machine Learning with GLMER trees.pdf APA-ATI Intensive Longitudinal Data: ESM Data Mining using GLMER Trees

V: Machine Learning with Experience Sampling Data: CART

Files Session V – Machine Learning with ESM.pdf

Z: Specifying Network and VAR models in R

Files Session Z – Lab – Multivariate Dynamics and Networks.pdf Specifying network and VAR models in R

N: Specifying Variance Heterogeneity (location-scale) models in R

Files Session N – MLMwithHeterogeneousVariance.pdf Multilevel Model with Heterogeneous Variance (Location-Scale models)

K: Specifying generalized linear models in R

Files Session K – Lab – Generalized MLM.pdf Modeling Count Outcomes using the Generalized Multilevel Model

J: Modeling categorical and count outcomes

Files Session J – All PDFs J01 Categorical Outcomes.pdf J02 Logistic Regression.pdf J03 Logistic Example.pdf J04 Multilevel Logistic.pdf J05 Multilevel Logistic Example.pdf Session J06 Count Outcomes.pdf J07 Count Regression.pdf J08 Count Regression Example.pdf J09 Multilevel Count.pdf J10 Multilevel Count Example.pdf

H: Specifying multilevel models in R

Files Session H – Lab – Basic MLM.pdf Specifying multilevel models in R

E: Computing Intraindividual Variability Metrics in R

Files Session E – Lab – Intravar Metrics.pdf Computing Intraindividual Variability Metrics in R

B: Data Management and Data Viz in R

Files Session B – Lab – Data & Data Viz.pdf Data Management and Data Viz in R