Jaime Ashander (ashander)

ashander

Geek Repo

Company:U.S. Geological Survey

Location:Eastern Ecological Science Center @ Patuxent

Home Page:http://ashander.info

Github PK Tool:Github PK Tool


Organizations
tbp-code

Jaime Ashander's repositories

rmarkdown-polyglot

demo of rmarkdown's versatility for academic publishing

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ashander.github.io

My website revamped

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ftprime

Forward-time simulation of the msprime data structure (for development)

.files

local config files

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AISproj

Predictive boater movements and simulation of lake-level risk of infestation in MN

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bio_610B

Course materials for Advanced Biological Statistics II, Bio 610B, at the University of Oregon.

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bookdown-minimal

An absolutely minimal bookdown example

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caret_talk

caret and recipes talk for Practical Data Science Utah Meetup

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cdc-vax

DC vaccine allocation data from cdc

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cyipopt

Cython interface for the interior point optimzer IPOPT

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forecast-standards

Exploring possible metadata and data formatting standards for comparing Ecological Forecasts

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fwdpy11_arg_example

Example of tracking the ARG during forward simulations. Implementation is a Python package using fwdpp, fwdpy11, msprime, and pybind11.

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github-quickstart

How to get started on Github (as a scientist)

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landsim

efficient, forwards-time simulation of populations on raster-based landscapes

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msprime

A reimplementation of Hudson's classical ms simulator for modern data sets.

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opty

A library for using direct collocation in the optimization of dynamic systems.

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pip-r-demo

using pip to install an R-based command line util

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PPR

MDP R implementation of the PPR problem

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pyslim

Tools for dealing with tree sequences coming to and from SLiM.

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r-markdown-tutorial

A short tutorial on using R + markdown

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rastervis

The raster package defines classes and methods for spatial raster data access and manipulation. The rasterVis package complements raster providing a set of methods for enhanced visualization and interaction.

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workshop-cloud-native

Workshop tutorial on cloud-native access to EFI forecasts

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