Package index
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GLBFP-package - GLBFP: General Linear Blend Frequency Polygon Density Estimation
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ASH()print(<ASH>) - Averaged Shifted Histogram (ASH) estimator at a single point
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LBFP()print(<LBFP>) - Linear Blend Frequency Polygon (LBFP) estimator at a single point
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GLBFP()print(<GLBFP>) - General Linear Blend Frequency Polygon (GLBFP) estimator at a single point
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ash()lbfp()glbfp()ash_estimate()lbfp_estimate()glbfp_estimate()compute_di() - Lowercase aliases for the public API
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ASH_estimate()print(<ASH_estimate>)plot(<ASH_estimate>) - ASH density estimation on a grid
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LBFP_estimate()print(<LBFP_estimate>)plot(<LBFP_estimate>) - LBFP density estimation on a grid
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GLBFP_estimate()print(<GLBFP_estimate>)plot(<GLBFP_estimate>) - GLBFP density estimation on a grid
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ash()lbfp()glbfp()ash_estimate()lbfp_estimate()glbfp_estimate()compute_di() - Lowercase aliases for the public API
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compute_Di() - Leave-one-out self-support scores for grid density estimators
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ash()lbfp()glbfp()ash_estimate()lbfp_estimate()glbfp_estimate()compute_di() - Lowercase aliases for the public API
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compute_bi_optim() - Compute bandwidth vector \(b_i\)
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compute_G_star() - Compute the \(G^*\) bandwidth constant
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G_i() - Compute the \(G(m_i)\) bandwidth constant
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K_mi() - Compute the \(K(m_i)\) bandwidth constant
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predict(<glbfp_fit>) - Predict from GLBFP fit objects
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summary(<glbfp_fit>) - Summarize GLBFP fit objects
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as.data.frame(<glbfp_grid>)as.data.frame(<glbfp_di>) - Convert GLBFP objects to data frames
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ashua - River Ashuapmushuan daily flow and level data