davharris Goto Github PK

plant_co-occurrence_patterns

portalpredictions

Using various models to forecast abundances at Portal

posdm_review

The barest ingredients of a review on predicting probability of presence with presence-only species distribution models

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

purrr

Make your pure R function purrr with functional programming

pyramids

r-novice-gapminder

Introduction to R for non-programmers using gapminder data.

r6

R objects with reference semantics

rcpp-gallery

Source code for the Rcpp Gallery website

reshape

An R package to flexible rearrange, reshape and aggregate data

rethinking

Statistical Rethinking course and book package

retriever

Quickly download, clean up, and install ecological datasets into a database management system

rmarkdown-website-examples

Examples of R Markdown Websites

rosalia

Exact inference for small binary Markov networks

rpcaadmm

Robust Principal Component Analysis via ADMM in Python

rstan

RStan, the R interface to Stan

sad-comparison

Elita Baldridge's dissertation repository

scipy

Scipy library main repository

sdm-tutorial

sdmstack

semester-biology

sneb

Experiments with machine learning approaches to predicting richness (S), abundance (N), energy use (E) & biomass(B)

snow_melt

spotbot

spring12bbseminar

Pages for Brown Bag Seminar in Spring 2012

stan

Stan development repository (home page is linked below). The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

statsbioproject

A project for Statistical Principles in Biology, Fall 2015. Exploring Portal data by modeling growth rates.

statsmodels

Statsmodels: statistical modeling and econometrics in Python

stochastic-approximation-tutorial