Code Monkey home page Code Monkey logo

nimbledistance's Introduction

nimbleDistance: functions for fitting distance sampling models in nimble

This repository provides some user-defined distributions that can be used to implement distance sampling models in nimble:

  • Includes likelihoods for common distance-detection distributions (hazard-rate and half-normal) using both line-transect and point surveys.

  • Includes a vignette illustrating use of the package to undertake some simple analyses of distance-detection data collected on lines and points.

The package is at a very early stage of development. Suggestions for improvement and contributions of code are very welcome.

Installation:

devtools::install_github("scrogster/nimbleDistance", build_vignettes = TRUE, INSTALL_opts = "--no-multiarch")

nimbledistance's People

Contributors

scrogster avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.