Code and documentation from density UQ review paper.
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Updated
Jul 10, 2022 - R
Code and documentation from density UQ review paper.
This package is the result of my course project on density estimation.
Code and Documentation for Functional Regression on Densities of Observations (FRODO)
A R Package to find Optimal Bandwidth for Kernel Density Estimation using new methods based on K-Fold Maximum Likelihood and AIC.
Code for the arXiv preprint:2206.05227
EMMIX fits the data into the specified multivariate mixture models via the EM Algorithm.
This repository contains code to perform the wildlife density modelling approach outlined in Houldcroft et al. (2024).
Code used for my undergraduate thesis "Income Inequality in Europe and Russia: Cross-Countries Analysis"
estimate density from samples of population using maximum entropy approach
course sub-material for statistical computing class (2021 Fall)
R interface for estimated kernel densities comparisons
Generalized Score Matching
Sub-package of spatstat containing code for linear networks
R package for Random Encounter Modelling
An R package for kernel density estimation with parametric starts and asymmetric kernels.
📦 R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
This is the R code for several common non-parametric methods (kernel est., mean regression, quantile regression, boostraps) with both practical applications on data and simulations
Probabilistic Learning for mlr3
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