Setting up custom functions | Estimating the models | Inspecting specific models | Plotting posterior distributions for all specifications

Preparations | Loading packages and data | Creating a custom function to extract full model | Setup specifications | Run standard specification curve analysis | Refit the models under-the-null | Run bootstrap sampling procedure | Summarize findings | Plot inference curve | References

Simple parallelization without custom functions | Parallelization with custom functions from different packages

Simply adding a random effect structure | Defining customatized multilevel functions | Setting up specifications | Fit the models

Different independent and dependent variables | Simply providing different variable as vectors | Specific variable/model combinations | Adding composite and latent variables | Control variables | Adding a bunch of control variables | Sets of covariates | Dealing with duplicates in specifications | Subset analyses | Simple subset analysis based on grouping variables | More complex analysis using the subsets functionality

Understanding the data | Defining analytical choices | Fit models across specifications | Investigating the specification curve | Visualizing results | Decomposing the variance in the specification curve

Preparations | Preparing the data set | Understanding lavaan syntax and output | Specification curve analysis with latent variables | Defining the customized sem model function | Run the specification curve analysis with additional parameters | Additional insights from "lavaan" objects

Setup specifications with a specific extract function | Identify model(s) of interest | Investigate models | Some more examples

Specification curve analysis | Setting up specifications | Fitting the models | Investigating the results | Visualizations | Comprehensive standard visualization | More advanced customization | Plot curve and choices seperately | Include sample size histogram | Alternative way to visualize specification results