These models include example R code for latent class models. Information about the package needed to fit each model is available in that model’s description.

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MLCA: Non-parametric approach with covariates at the day-level and person-level

Description

This code fits a 2-level latent-class model with covariates using a “non-parametric approach.” This model simultaneously estimates day-level classes of substance-related consequences and person-level classes that group individuals based on proportion of each type of day. This model includes covariates at each level to estimate associations with both the day-level and person-level classes.

Software Downloads

R

Model Features

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Measurement Invariance

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Approach to Outcomes

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MLCA: Non-parametric approach without covariates

Description

This code fits a 2-level latent-class model without covariates using a “non-parametric approach.” This model simultaneously estimates day-level classes of substance-related consequences and person-level classes that group individuals based on proportion of each type of day.

Software Downloads

R

Model Features

Model Category

Your Content Goes Here

Model Type

Your Content Goes Here

Indicator Type

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Software Options

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Measurement Invariance

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Approach to Outcomes

Contributors

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