Density estimation and smoothing
- WINDOWS
- Variety of window, kernel and moving-agerage estimators with
cross-validation. (P)
- Kernel density estimation
- Gaussian smoothing using fast Fourier transform subroutines found
here.
- Mixture models
- Maximum likelihood estimates of mixture of normal, Poisson or other
distributions.
- Mixture models
- Maximum likelihood estimates of mixture of normal, Poisson or other
distributions.
- Dip statistic
- Computes statistic to test for unimodality.
- Univariate kernel
smoother
- Calculates probabilities of bins for a multinomial vector using a quadratic
kernel with smoothing determined from cross-validation.
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