Sub-package of spatstat containing code for linear networks

a helper package for pomp

R package for statistical inference using partially observed Markov processes

Dashboards en Power BI sobre la situación de la cobertura de salud en argentina, basado en los resultados del censo 2022

This repository contains exercises and assignments developed as part of my university coursework in Statistics.

Sub-package of spatstat containing functionality for parametric modelling and inference

The repository contains all the source files for the Regression Cookbook (Now with Machine Learning and Stats Flavours!). This textbook aims to set a common ground between machine learning and statistics regarding linear regression techniques using Python and R under two perspectives: inference and prediction.

📦 NCC: Simulation and analysis of platform trials with non-concurrent controls

Probability and Statistics Course given at Universidad Panamericana.

sub-package of spatstat containing core functionality for data analysis and modelling

R package for calculation of standard and bootstrap confidence intervals

Basic statistical modelling examples.

The aim of this project is given a collection of records documenting the stray, unwanted, or neglected dogs sent to animal shelters to be rehomed, we analyse their rehoming patterns based on their breeds.

Inference Tools for SciViews::R

Estimating route conditional travel time and its uncertainty.

Predicting Absolute and Relative Abundance by Modeling Efficiency to Derive Intervals and Concentrations

An R package providing a GUI ('shiny' app) for the R package 'brms'.

Aplikasi Shiny untuk mendemonstrasikan Teorema Limit Pusat.

Dynamic failure rate distributions (DFR)

Perform inference on algorithm-agnostic variable importance