MindStat Mixed-Effects Models

Data & Demo

Load your data (CSV) or use built-in demo data

IMPORT DATA

ICC Calculator

Intraclass Correlation Coefficient — assess rater agreement or consistency

SETTINGS

Model Type

Agreement Type

Rater Columns

Linear Mixed Model (LMM)

Y ~ X + (1 | Group) — JavaScript approximation of fixed & random effects

MODEL SPECIFICATION

Outcome Y

Grouping Variable (Random)

Fixed Predictors — select multiple

Linear Growth Curve

Plot individual trajectories and group means over time

SETTINGS

Time Variable

Outcome

Subject ID

Group (optional)

Advanced R Engine

Run full lme4::lmer and nlme in the browser via WebR

WEBR STATUS

Full mixed models (ML/REML) require an R engine. The JavaScript approximations are limited to random-intercept OLS. To run lme4::lmer or nlme::lme, you can load WebR directly in the browser.