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r-unmarked

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Fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates.

Installation

To install this package, run one of the following:

Conda
$conda install r_test::r-unmarked

Usage Tracking

0.12_3
1 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

Fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates.

Last Updated

Dec 12, 2019 at 18:06

License

GPL-3

Total Downloads

6

Version Downloads

6

Supported Platforms

linux-64
macOS-64
win-64