Create tidy probability/density tibbles and plots of randomly generated and empirical data.

An R package for maximum likelihood estimation of univariate densities.

Non-parametric conditional density estimation with binned conditional histograms

draws a TS diagram using ggplot2

BAM Landbird Models

Smoothed bootstrap and functions for sampling from kernel densities

Description of ABMI's density estimation with camera data methods, plus supplemental data and functions.

Hanging in there: the highs and lows of a flying-fox camp in a novel landscape

DsProfiling – Dataset Profiling

📘 Ejemplos de gráficos con R

Royle J.A. and S.J. Converse. 2014. Hierarchical spatial capture-recapture models: modeling population density in stratified populations. Methods in Ecology and Evolution 5:37-43.

Code for Dingo Density Analysis

Multivariate density estimation and clustering. (R package)

📦 📊 R/haldensify: Nonparametric conditional density estimation with the highly adaptive lasso

An R package for charting density potentials in the built environment using Space Ratio and the Space Ratio Chart.

Require just one command line! Generate nine common plots from RNAseq result table by R.

An R package for generating and visualising permutations of building elevations including rooftop extensions.

The Z-Splinets package offers a comprehensive framework for building Z-splines, their orthogonalization, and evaluating or projecting data onto a Z-splines basis. It supports users in visualizing Z-splines by providing intuitive plotting functions. This package is designed to facilitate advanced functional data analysis tasks.

Calculates sinking velocity of particles in water.

The RRLab R package is a growing collection of experimental techniques and quality-of-life tools born from years of hands-on data science, modeling, and exploration. Built as a personal lab bench in R, it reflects a constant search for better ways to understand high-dimensional data, test bold ideas, and streamline the grind of daily analysis.