Posts

Estimating population abundance for replicated counts data is a computationally intensive problem. N-mixture models are used …
6 min read R, Statistics, Population Abundance, Package

Functional data can come from many different areas of study. Some of the most common examples come from finance (for example stock …
7 min read R, Statistics, Tutorial, Functional Data Analysis

Neural Networks are an immensely useful class of machine learning model, with countless applications. Today we are going to analyze a …
11 min read Python, Statistics, Tutorial, TensorFlow

Rcpp is an R library allowing for easy integration of C++ code in your R workflow. It allows you to create optimized functions for when …
7 min read R, Rcpp, Tutorial

Bootstrapping is a statistical technique for analyzing the distributional properties of sample data (such as variability and bias). It …
5 min read R, Statistics, Tutorial

optimizeAPA is an R package which allows for multi-parameter optimization. That means you can use it to find the maximum (or the …
8 min read R, Optimization

Welcome to the world of manifold regression! In part 2 we will apply manifold regression to a case study involving fMRI brain imaging …
11 min read R, Regression, fMRI

Welcome to the world of manifold regression! In part 1 we will introduce the basic concepts, overview the theory behind regression on …
6 min read R, Regression

Working on a likelihood function that relies on the Poisson distribution with large mean \(\lambda\), I ran into the problem of …
5 min read R, Optimization

Summary Ever wanted to add \(\LaTeX\) to your R plots? Well now you can, with tikz, and it will allow you to use \(\LaTeX\) code within …
12 min read ggplot, tikz, R, Tidyverse