This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Additionally, a goodness-of-fit based approach is used to estimate the lower cutoff for the scaling region.

Fast methods for multivariate normal distributions

webPrices: Scrape pricing with rvest and the tidyverse

Subject during MA studies at SGH. Example of using basic libraries with practical use.

R program to analyze and calculate statistical values given a dataset of home prices that include information about the number of baths, bedrooms, year, square-feet, taxes, and other features. Learn more:

Visualize probability distributions

This Shiny app provides a visual analysis of the height distribution among women's basketball players.

Data and Code

Estimation of Overlapping in Empirical Distributions.

Estimation of the parameters of returns for a stocks using the maximum likelihood estimation method.

This repository explores probability distributions across multiple cases, offering insights and analyses in a concise format.

This is a project I did in the Spring of 2017 for a graduate course in Statistical Computing. I was asked to find the descriptive statistics of 1000 simulations of a distribution, specifically to find the mean, median, midrange, and interquartile range of the simulations. I was asked to find these statistics for 1000 simulations of sample sizes …

Distribution fitting using l-moments method

R package developed to wrap-up tools for data manipulation as well as visualization functions in the context of multivariate analysis of metabolomics data.

This repository contains an R script that demonstrates the simulation and visualization of a Compound Poisson Process. The code generates sample paths and graphical representations of the process, helping in understanding how jumps accumulate over time in stochastic modeling.

Kibble Distribution

Using a split violin plot to analyse the distribution of freehold and leasehold new and existing median purchase price in 2017

Exploration of statistical probability distributions using the Central Limit Theorem in R. Random variable generation using functions of random variables.