Saqrlab — Function Reference

A modern laboratory for data simulation. Version 0.4.0 · 87 functions across 15 categories.

Click any function name to jump straight to its documented example, or click a card to open the whole category.

Every example was executed during rendering — the outputs and figures on each page are real.

Statistical simulators5

Explicit-parameter datasets with known effect sizes for parameter-recovery testing.

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Latent-variable models5

Latent profiles/classes, regression, factor analysis, and sequence clusters.

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Longitudinal & multilevel3

VAR(1) panel/ESM data, students-in-classes nesting, latent growth curves.

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Item Response Theory1

1PL / 2PL / 3PL / GRM item responses with known item and ability parameters.

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Survival & hidden Markov2

Time-to-event data with censoring, and hidden-Markov sequences with true latent paths.

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Missing-data mechanisms1

First-class MCAR / MAR / MNAR injection with calibrated rates and metadata.

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Random-parameter generation1

Seed-driven datasets (15 types) with complexity injection and batch generation.

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Sequences2

Markov-chain sequences and stability/instability sequence patterns.

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Networks & graphs5

igraph / statnet graphs, edge lists, one-hot encodings, hierarchical long data.

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Visualization3

Plot estimation comparisons, sampling distributions, and TNA comparisons.

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