Pseudo activity counts (per minute) data for cats

datasets

Fit zero-inflated Poisson hidden (semi-)Markov models with or without covariates by directly minimizing the negative log likelihood function using the gradient descent algorithm. Multiple starting values should be used to avoid local minima.

Zekun Xu

ziphsmm

Zero-Inflated Poisson Hidden (Semi-)Markov Models

CAT function

A data frame with 4320 rows and 5 variables:<dl class="dl-horizontal">
 <dt>id</dt><dd>cat ID: 1,2,3</dd>
 <dt>hour</dt><dd>hour of the day: 1,2,...,24</dd>
 <dt>minute</dt><dd>minute of the hour: 1,2,...,60</dd>
 <dt>night</dt><dd>night time indicator</dd>
 <dt>activity</dt><dd>activity count data</dd>
</dl>

Format

Pseudo activity counts (per minute) data for cats — CAT

A data frame with 4320 rows and 5 variables:<dl class='dl-horizontal'>
 <dt>id</dt><dd>cat ID: 1,2,3</dd>
 <dt>hour</dt><dd>hour of the day: 1,2,...,24</dd>
 <dt>minute</dt><dd>minute of the hour: 1,2,...,60</dd>
 <dt>night</dt><dd>night time indicator</dd>
 <dt>activity</dt><dd>activity count data</dd>
</dl>

CAT: Pseudo activity counts (per minute) data for cats

Description

Usage

Arguments

Format