Package index
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available_configs() - List Available Precomputed Configurations
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comp_rmse() - Compute RMSE of Parameter Estimates using Monte-Carlo Simulations
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get_sspLNIRT() - Retrieve Precomputed Sample Size Results
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optim_sample() - Optimize the Minimum Sample Size using Monte Carlo Simulations
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plot(<sspLNIRT>) - Plot Method for sspLNIRT Objects
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plot_RA() - Plot Simulated Response Accuracy
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plot_RT() - Plot Simulated Response Times
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plot_estimation() - Plot Estimation Metrics by Parameter Value
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plot_power_curve() - Plot Power Curve from Sample Size Optimization
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print(<summary.sspLNIRT>) - Print Method for sspLNIRT Summary Objects
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run_app() - Run the Shiny Application
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sspLNIRT.data - Precomputed Sample Size Planning Results
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scale_colour_sspLNIRT()scale_fill_sspLNIRT() - Discrete colour / fill scales for sspLNIRT plots
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summary(<sspLNIRT>) - Summarise an sspLNIRT Object
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theme_sspLNIRT() - sspLNIRT Plot Theme