sdmverse is a collaborative metapackage for listing all the metadata of the Species Distribution Modelling (SDM) packages. sdmverse includes a graphical interface available locally or online (see below). sdmverse integrates metadata from SDM packages and checks their validity against the CRAN metadata for perenity.
Faster, better, smarter ecological niche modeling and species distribution modeling
Random vectors: marginal and conditional distributions. Normal, t-distribution, Chi-square and F-distribution... AND A LOT MORE.
R package: determining cutoff values from bimodal data
📉 Create Diminutive Distribution Charts
Neutrosophic Family of Distributions
Adaptive Mixture of Student-t distributions
webPrices: Scrape pricing with rvest and the tidyverse
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
A Graphical User Interface-Based R Package for Species Distribution Modeling
UP: Universal Prediction distribution for surrogate models
An R package for visualizing comparison between two distributions.
Simple R script to fit distributions to data
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:
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 …
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