# A General Framework for Latent Classify and Profile Analysis

## Documentation for package ‘LCPA’ version 1.0.1

- DESCRIPTION file
- Package NEWS

## Help Pages

adjust.response | Adjust Categorical Response Data for Polytomous Items
check.response | Validate response matrix against expected polytomous category counts
compare.model | Model Comparison Tool
extract | S3 Methods: extract
extract.compare.model | S3 Methods: extract
extract.fit.index | S3 Methods: extract
extract.LCA | S3 Methods: extract
extract.LCPA | S3 Methods: extract
extract.LPA | S3 Methods: extract
extract.LTA | S3 Methods: extract
extract.SE | S3 Methods: extract
extract.sim.LCA | S3 Methods: extract
extract.sim.LPA | S3 Methods: extract
extract.sim.LTA | S3 Methods: extract
get.AvePP | Calculate Average Posterior Probability (AvePP)
get.CEP | Compute Classification Error Probability (CEP) Matrices
get.entropy | Calculate Classification Entropy
get.fit.index | Calculate Fit Indices
get.Log.Lik.LCA | Calculate Log-Likelihood for Latent Class Analysis
get.Log.Lik.LPA | Calculate Log-Likelihood for Latent Profile Analysis
get.Log.Lik.LTA | Calculate Log-Likelihood for Latent Transition Analysis
get.npar.LCA | Calculate Number of Free Parameters in Latent Class Analysis
get.npar.LPA | Calculate Number of Free Parameters in Latent Profile Analysis
get.npar.LTA | Calculate Number of Free Parameters in Latent Transition Analysis
get.P.Z.Xn.LCA | Compute Posterior Latent Class Probabilities Based on Fixed Parameters
get.P.Z.Xn.LPA | Compute Posterior Latent Profile Probabilities Based on Fixed Parameters
get.SE | Compute Standard Errors
install_python_dependencies | Install Required Python Dependencies for Neural Latent Variable Models
Kmeans.LCA | Initialize LCA Parameters via K-means Clustering
LCA | Fit Latent Class Analysis Models
LCPA | Latent Class/Profile Analysis with Covariates
logit | Compute the Logistic (Sigmoid) Function
LPA | Fit Latent Profile Analysis
LRT.test | Likelihood Ratio Test
LRT.test.Bootstrap | Bootstrap Likelihood Ratio Test
LRT.test.VLMR | Lo-Mendell-Rubin likelihood ratio test
LTA | Latent Transition Analysis (LTA)
normalize | Column-wise Z-Score Standardization
plotResponse | Visualize Response Distributions with Density Plots
print | S3 Methods: print
print.compare.model | S3 Methods: print
print.fit.index | S3 Methods: print
print.LCA | S3 Methods: print
print.LCPA | S3 Methods: print
print.LPA | S3 Methods: print
print.LTA | S3 Methods: print
print.SE | S3 Methods: print
print.sim.LCA | S3 Methods: print
print.sim.LPA | S3 Methods: print
print.sim.LTA | S3 Methods: print
print.summary.compare.model | S3 Methods: print
print.summary.fit.index | S3 Methods: print
print.summary.LCA | S3 Methods: print
print.summary.LCPA | S3 Methods: print
print.summary.LPA | S3 Methods: print
print.summary.LTA | S3 Methods: print
print.summary.SE | S3 Methods: print
print.summary.sim.LCA | S3 Methods: print
print.summary.sim.LPA | S3 Methods: print
print.summary.sim.LTA | S3 Methods: print
rdirichlet | Generate Random Samples from the Dirichlet Distribution
sim.correlation | Generate a Random Correlation Matrix via C-Vine Partial Correlations
sim.LCA | Simulate Data for Latent Class Analysis
sim.LPA | Simulate Data for Latent Profile Analysis
sim.LTA | Simulate Data for Latent Transition Analysis (LTA)
summary | S3 Methods: summary
summary.compare.model | S3 Methods: summary
summary.fit.index | S3 Methods: summary
summary.LCA | S3 Methods: summary
summary.LCPA | S3 Methods: summary
summary.LPA | S3 Methods: summary
summary.LTA | S3 Methods: summary
summary.SE | S3 Methods: summary
summary.sim.LCA | S3 Methods: summary
summary.sim.LPA | S3 Methods: summary
summary.sim.LTA | S3 Methods: summary
update | S3 Methods: update
update.LCA | S3 Methods: update
update.LCPA | S3 Methods: update
update.LPA | S3 Methods: update
update.LTA | S3 Methods: update
update.sim.LCA | S3 Methods: update
update.sim.LPA | S3 Methods: update
update.sim.LTA | S3 Methods: update