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
A deep learning-based method to infer leaf angle variation from photographs.
📉 Create Diminutive Distribution Charts
Neutrosophic Family of Distributions
Adaptive Mixture of Student-t distributions
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
webPrices: Scrape pricing with rvest and the tidyverse
Computes some Measures of OLL-G Family of Distributions
A Graphical User Interface-Based R Package for Species Distribution Modeling
Simple R script to fit distributions to data
An R package for visualizing comparison between two distributions.
UP: Universal Prediction distribution for surrogate models
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:
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