# Posts

### quickNmix: Asymptotic N-mixture Models

Estimating population abundance for replicated counts data is a computationally intensive problem. N-mixture models are used …

### Functional Data Analysis: Discrete Observations to Functional Representations

Functional data can come from many different areas of study. Some of the most common examples come from finance (for example stock …

### Neural Networks for Clustering in Python

Neural Networks are an immensely useful class of machine learning model, with countless applications. Today we are going to analyze a …

### Rcpp: Using C++ to improve performance in R

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 …

### Bootstrap Tutorial in R

Bootstrapping is a statistical technique for analyzing the distributional properties of sample data (such as variability and bias). It …

### optimizeAPA Tutorial (Arbitrary Precision Optimization)

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

### Manifold Regression (part 2)

Welcome to the world of manifold regression! In part 2 we will apply manifold regression to a case study involving fMRI brain imaging …

### Manifold Regression (part 1)

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

### An RMPFR Tutorial (Arbitrary Precision Probability Densities)

Working on a likelihood function that relies on the Poisson distribution with large mean $$\lambda$$, I ran into the problem of …

### Easy Latex Titles and Labels for ggplot

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 …