webPrices: Scrape pricing with rvest and the tidyverse

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 …

Scripts for species distribution modeling in R using MaxEnt

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

UP: Universal Prediction distribution for surrogate models

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

Estimation of Overlapping in Empirical Distributions.

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

Kibble Distribution

An R package for visualizing comparison between two distributions.

Visualize probability distributions

📉 Create Diminutive Distribution Charts

Data and Code

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:

R package for constructing and evaluating Markov chains with cashflows that depend on the state of the underlying markov chain using Thiele difference type equations

Simple R script to fit distributions to data

Random vectors: marginal and conditional distributions. Normal, t-distribution, Chi-square and F-distribution... AND A LOT MORE.