R: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)

# Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)

## Documentation for package ‘modsem’ version 1.0.19

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

bootstrap_modsem | Bootstrap a modsem Model
bootstrap_modsem.function | Bootstrap a modsem Model
bootstrap_modsem.modsem_da | Bootstrap a modsem Model
bootstrap_modsem.modsem_pi | Bootstrap a modsem Model
centered_estimates | Get Centered Interaction Term Estimates
centered_estimates.lavaan | Get Centered Interaction Term Estimates
centered_estimates.modsem_da | Get Centered Interaction Term Estimates
colorize_output | Capture, colorise, and emit console text
compare_fit | compare model fit for 'modsem' models
default_settings_da | default arguments fro LMS and QML approach
default_settings_pi | default arguments for product indicator approaches
estimate_h0 | Estimate baseline model for 'modsem' models
estimate_h0.modsem_da | Estimate baseline model for 'modsem' models
estimate_h0.modsem_pi | Estimate baseline model for 'modsem' models
extract_lavaan | extract lavaan object from modsem object estimated using product indicators
fit_modsem_da | Fit measures for QML and LMS models
get_pi_data | Get data with product indicators for different approaches
get_pi_syntax | Get 'lavaan' syntax for product indicator approaches
is_interaction_model | Check if model object has interaction terms
jordan | Jordan subset of PISA 2006 data
modsem | Estimate interaction effects in structural equation models (SEMs)
modsemify | Generate parameter table for 'lavaan' syntax
modsem_coef | Wrapper for coef
modsem_da | Interaction between latent variables using LMS and QML approaches
modsem_inspect | Inspect model information
modsem_inspect.lavaan | Inspect model information
modsem_inspect.modsem_da | Inspect model information
modsem_inspect.modsem_pi | Inspect model information
modsem_mimpute | Estimate a 'modsem' model using multiple imputation
modsem_mplus | Estimation latent interactions through 'Mplus'
modsem_nobs | Wrapper for nobs
modsem_pi | Interaction between latent variables using product indicators
modsem_predict | Predict From 'modsem' Models
modsem_predict.modsem_da | Predict From 'modsem' Models
modsem_predict.modsem_pi | Predict From 'modsem' Models
modsem_vcov | Wrapper for vcov
oneInt | oneInt
parameter_estimates | Extract parameterEstimates from an estimated model
parameter_estimates.lavaan | Extract parameterEstimates from an estimated model
parameter_estimates.modsem_da | Extract parameterEstimates from an estimated model
parameter_estimates.modsem_mplus | Extract parameterEstimates from an estimated model
parameter_estimates.modsem_pi | Extract parameterEstimates from an estimated model
plot_interaction | Plot Interaction Effects in a SEM Model
plot_jn | Plot Interaction Effect Using the Johnson-Neyman Technique
plot_surface | Plot Surface for Interaction Effects
relcorr_single_item | Reliability‑Corrected Single‑Item SEM
set_modsem_colors | Define or disable the color theme used by 'modsem'
simple_slopes | Get the simple slopes of a SEM model
standardized_estimates | Get Standardized Estimates
standardized_estimates.lavaan | Get Standardized Estimates
standardized_estimates.modsem_da | Get Standardized Estimates
standardized_estimates.modsem_mplus | Get Standardized Estimates
standardized_estimates.modsem_pi | Get Standardized Estimates
standardize_model | Standardize a fitted 'modsem_da' model
summarize_partable | Summarize a parameter table from a 'modsem' model.
summary.modsem_da | summary for modsem objects
summary.modsem_mplus | summary for modsem objects
summary.modsem_pi | summary for modsem objects
TPB | TPB
TPB_1SO | TPB_1SO
TPB_2SO | TPB_2SO
TPB_UK | TPB_UK
trace_path | Estimate formulas for (co-)variance paths using Wright's path tracing rules
twostep | Estimate interaction effects in structural equation models (SEMs) using a twostep procedure
var_interactions | Extract or modify parTable from an estimated model with estimated variances of interaction terms