The Study of the Household

Useful Zeros: poisson mixtures and custom families

UdeS

stan

Making something out of the right kind of nothing.

Andrew MacDonald

Phylogeny

UdeS

stan

it is that (evolutionary) time.

Andrew MacDonald

Ricker Model with Allee effects

UdeS

stan

How to model discrete growth with low-density effects.

Andrew MacDonald

Difference of normals is normal

probability

likelihood

Calculating something like growth with measurement error.

Andrew MacDonald

Contrasts

UdeS

stan

What’s the (kind of) difference?

Andrew MacDonald

How to model discrete growth

UdeS

stan

reproduction

MAR

Comparing a lagged AR-1 model with the marginalized transition distribution.

Andrew MacDonald

Discrete-time population growth in Stan

UdeS

stan

reproduction

MAR

Inspired by Ives 2003.

Andrew MacDonald

Vectorizing a multilevel AR-1 model

UdeS

stan

Vectorizing with multiple species

Andrew MacDonald

causal DAGS and full-luxury shade trees

QCBS

stan

Andrew MacDonald, Bella Richmond

Modelling discrete growth

UdeS

stan

How to model the growth of things in a sensible fashion

Andrew MacDonald, Kelly Forester

Power laws on log-linear plots

UdeS

stan

How to fit and plot Power Law curves with lm.

Andrew MacDonald, Amélie Morin

Stan-dalone generated quantites

UdeS

stan

generated quantities

working with Stan after you’ve done that once already.

Andrew MacDonald

Transformed regression in Stan

UdeS

stan

QCBS

Curvy lines done dirt cheap.

Andrew MacDonald

Missing data in non-normal distributions

UdeS

stan

QCBS

We could have counted them but we didn’t.

Andrew MacDonald, Flavio Affinito

Breakpoint regression in Stan

UdeS

stan

QCBS

Two lines diverged at a particular point.

Andrew MacDonald

Latent continuous variables

UdeS

stan

Modelling continuous latent states in Stan.

Andrew MacDonald

Validating a model of selection on plasticity

UdeS

stan

Plus ça change, plus c’est la change qui change

Andrew MacDonald

The evolution of plasticity

UdeS

stan

brms

simulation

How to measure plasticity with a bayesian hierarchical model

Andrew MacDonald and Audrey Tremblay

Simple nonlinear growth

UdeS

stan

How to model the growth of an individual of known age.

Andrew MacDonald

Fitting a multispecies functional response in Stan

UdeS

stan

How many things get eaten, if more than one animal gets eaten?

Andrew MacDonald & Ben Mercier

Updating R and your R packages

UdeS

stan

Because sometimes: you have to

Andrew MacDonald

Andrew tries Quarto

UdeS

stan

Quick notes on how to make a blog with Quarto and also targets.

Andrew MacDonald

Selection on plasticity

UdeS

stan

plasticity

Stan model where a slope is also a prdictor

Andrew MacDonald

The Cholesky decomposition

UdeS

stan

It’s giving correlations.

Andrew MacDonald

Uncertainty in growth increments

UdeS

stan

Process and Measurement error in a simple growth process.

Will Vieira, Andrew MacDonald

Setting priors on hierarchical multivariate models

UdeS

stan

keep it realistic.

Andrew MacDonald

Should we model growth as continuous or discrete

UdeS

stan

How to model without making nonsensical predictions.

Andrew MacDonald

Probability integral transforms

Understanding a diagnostic tool for models.

Growth curves

stan

simulation

growth

Many animals and plants grow quickly when small and more slowly as they mature. There are many popular ways of describing this relationship; one very common and convenient…

Population growth with functional programming

R

Today I want to tell you about an approach for functional programming in R – and then apply it to studying population growth!

Andrew MacDonald

Twitter recommends stats books

books

statistics

twitter

What are my brilliant friends reading?

Andrew MacDonald

Continuous fractions with Map and Reduce

R

Over the summer, some of us here at UBC started a reading group based around Hadley Wickham’s book, Advanced R Programming. The goal was to compare our answers to the…

Andrew MacDonald