Package index • surveymixr

Core Estimation Functions

Main functions for fitting growth mixture models

gmm_survey(): Growth Mixture Models with Complex Survey Design
gmm_survey_binary(): Growth Mixture Model for Binary Outcomes
gmm_survey_ordinal(): Growth Mixture Model for Ordinal Outcomes
gmm_survey_count(): Growth Mixture Model for Count Outcomes
gmm_survey_re(): Growth Mixture Model with Random Effects
gmm_survey_tvc(): Growth Mixture Model with Time-Varying Covariates

Model Selection

Functions for determining optimal number of classes

gmm_select(): Model Selection for Growth Mixture Models
gmm_cv(): K-Fold Cross-Validation for GMM Model Selection
lmr_test(): Lo-Mendell-Rubin Test for Class Enumeration
lmr_sequential(): Automated LMR Testing Across Multiple Models

Auxiliary Variable Analysis

R3STEP and classification uncertainty correction

r3step(): R3STEP Analysis of Auxiliary Variables

Advanced Diagnostics

Model diagnostics and quality assessment

diagnose_convergence(): Convergence Diagnostics for Growth Mixture Models
diagnose_influence(): Detect Influential Observations in GMM
diagnose_separation(): Detect Separation in Latent Classes
residual_diagnostics(): Residual Diagnostics for GMM
classification_quality(): Classification Quality Metrics
entropy(): Entropy Function (Exported)
class_proportions(): Class Proportions with Confidence Intervals
compare_classes(): Compare Classes on a Variable

Visualization Functions

Plotting and interactive visualization

plot_trajectories(): Plot Trajectories by Latent Class
plot_interactive(): Create Interactive Trajectory Plot
plot_model_selection(): Plot Model Selection Comparison
plot_model_selection_interactive(): Create Interactive Model Selection Plot
plot_class_comparison(): Plot Class Comparison for a Variable
plot_posterior_dist(): Create Interactive Posterior Probability Distribution Plot
plot_random_effects(): Plot Random Effects Distributions
plot_tvc_effects(): Plot Time-Varying Covariate Effects

Extractors & Accessors

Extract parameters and predictions from fitted models

extract_fit_indices(): Extract Information Criteria
extract_trajectories(): Extract Trajectories by Class
extract_tvc_effects(): Extract Time-Varying Covariate Effects
get_random_effects(): Extract Random Effects from Fitted Model
variance_components(): Extract Variance Components
calculate_icc(): Calculate Intraclass Correlation

Data Preparation & Validation

Helper functions for data manipulation

validate_survey_data(): Validate Survey Data for GMM Analysis
wide_to_long(): Reshape Data from Wide to Long

Simulation & Testing

Data simulation for testing and validation

simulate_gmm_survey(): Simulate Data from Growth Mixture Model with Survey Design
test_tvc_effects(): Test Time-Varying Covariate Effects

Software Integration

Integration with Mplus and other software

mplus_to_surveymixr(): Convert Mplus Syntax to surveymixr
surveymixr_to_mplus(): Convert surveymixr Output to Mplus Format
compare_with_mplus(): Compare surveymixr and Mplus Results

Example Data

Included datasets for examples

mcs_simulated: Simulated Millennium Cohort Study Data

S4 Classes

Object-oriented class definitions

SurveyMixr-class: S4 Class Definition for surveymixr Objects
SurveyMixrRE-class: Define SurveyMixrRE S4 Class
SurveyMixrTVC-class: Define SurveyMixrTVC S4 Class
SurveyMixrSelect-class: S4 Class for Model Selection Results
R3StepResults-class: S4 Class for R3STEP Results
ConvergenceDiagnostics-class: S4 Class for Convergence Diagnostics
InfluenceDiagnostics-class: Define InfluenceDiagnostics S4 Class
DataValidation-class: Define DataValidation S4 Class

S4 Methods

Generic methods for surveymixr objects

show(<SurveyMixr>) print(<SurveyMixr>) summary(<SurveyMixr>) coef(<SurveyMixr>) vcov(<SurveyMixr>) fitted(<SurveyMixr>) residuals(<SurveyMixr>) logLik(<SurveyMixr>) AIC(<SurveyMixr>) BIC(<SurveyMixr>) show(<SurveyMixrSelect>) print(<SurveyMixrSelect>) summary(<SurveyMixrSelect>) show(<R3StepResults>) print(<R3StepResults>) summary(<R3StepResults>) plot(<SurveyMixr>): S4 Methods for SurveyMixr Objects
show(<DataValidation>): Print Method for DataValidation
show(<InfluenceDiagnostics>): Print Method for Influence Diagnostics

S3 Methods

Print and plot methods for specific objects

plot(<gmm_cv>): Plot Method for GMM Cross-Validation Results
print(<gmm_cv>): Print Method for GMM Cross-Validation Results
print(<lmr_sequential>): Print Method for Sequential LMR Results
print(<lmr_test>): Print Method for LMR Test Results

Internal

Package infrastructure

surveymixr-package surveymixr: surveymixr: Growth Mixture Models with Complex Survey Design
plotting: Plotting Functions for surveymixr
utilities: Utility Functions for surveymixr