with smooths ggplot2 for graphics and visualization Synthesize models and visualization to Visualize data to inform models and condition on models to explore data Basics require (ggplot2... We can take advantage of this for data and model visualization p - ggplot (d, aes (mastery, mentalHealth)) + geom_point () + stat_smooth (method = "lm" ) require (gridExtra..., especially for "nuissance" variables Many options -- mgcv package has the gam function for generalized additive models with a general smooth function s() defaulting to thin-plate Also...

this summer, check http://elkhartgroup.com/ for details Example 1 Factor Model Let \(\mathbf{y_i}\) be all the dependent variables (factor indicators), \(\boldsymbol{\nu...{\nu + \Lambda\eta_i + \varepsilon_i} \] We model the variance covariance matrix \[ \boldsymbol{\Sigma = \Lambda\Psi\Lambda^{T} + \Theta} \] Where \(\boldsymbol{\Sigma... covariance matrix Factor Model To identify the model, we can either fix the factor variance(s), by convention to 1, or fix one loading (an element of \(\boldsymbol{\Lambda}\) ), again...

, Psychometrics Mediation & Causal Analysis Longitudinal Analysis Tutorials Help in R Introduction to Modeling in R Mplus Automation: Dynamic Models and Reports with R Psychometrics: Machine...