This repository contains the point pattern data and example analyses for the paper. The code is mostly in Julia, with some parts in R.

There are two main models in the paper.

• Softcore sequential point process
  • without noise
  • with noise
  • with noise and bayes estimation
• Generative model

As a result of this paper these models were implemented in SequentialPointProcesses.jl and PointPatternStatistics.jl.

At the time of writing the Julia version was 1.5.0 and the exact versions of the dependencies might not exist for earlier versions.

The easiest way to install all required packages is to use the dependencies in Manifest.toml.

1. Make sure your julia process is in the SweatPaper root directory
2. Activate project environment

import Pkg
Pkg.activate(".")

3. Install dependencies

Pkg.instantiate()

The packages will only be available in the project environment and to use them the project environment needs to be activated for every session.

RCall is not included in the dependencies since it requires installing R and is mostly used for some plots. Usually it can be installed through the package manager:

Pkg.add("RCall")

• "Point process models for sweat gland activation observed with noise" Kuronen, Myllymäki, Loavenbruck, Särkkä, https://arxiv.org/abs/2005.01517