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  "Title": "Sample Size Analysis for Psychological Networks and More",
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  "Description": "An implementation of the sample size computation method\nfor network models proposed by Constantin et al. (2023)\n<doi:10.1037/met0000555>. The implementation takes the form of\na three-step recursive algorithm designed to find an optimal\nsample size given a model specification and a performance\nmeasure of interest. It starts with a Monte Carlo simulation\nstep for computing the performance measure and a statistic at\nvarious sample sizes selected from an initial sample size\nrange. It continues with a monotone curve-fitting step for\ninterpolating the statistic across the entire sample size\nrange. The final step employs stratified bootstrapping to\nquantify the uncertainty around the fitted curve.",
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  "Date/Publication": "2025-09-01 20:34:18 UTC",
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