Model building aid for population analysis using NONMEM

Population Experimental Design (PopED) in R

Pattern-oriented ensemble modelling and simulation (with spatially explicit populations)

Simulaciones de epidemias 👾 en poblaciones con mezclas homogéneas 👪 utilizando modelos basados en agentes autónomos 🤖

This app projects a user-defined Leslie (age-classified) matrix to examine population changes through time.

Strategy for improved characterisation of human metabolic phenotypes using a COmbined Multiblock Principal components Analysis with Statistical Spectroscopy (COMPASS)

Bayesian Priors for Matrix Population Models

Stochastic Leslie matrix population model for the emu (Dromaius novaehollandiae)

Proof-of-concept simulations for weighted-likelihood and weighted-precision approaches to deal with weighted survey data for regression analysis.

Simulate population dynamics and survey data that respond to stream hydrology using historical data from USGS stream gages.

Stochastic Leslie matrix model population projections for the common wombat (Vombatus ursinus)

Stochastic matrix population model for the spotted-tail quoll (Dasyurus maculatus)

Stochastic Leslie matrix population projection model for the red kangaroo (Osphranter rufus)

This repo is the complete workflow for this publication: Tail associations in ecological variables and their impact on extinction risk, Ghosh et al., Ecosphere 11(5):e03132. For details and citation see here:

Leslie matrix projection model for the short-beaked echidna (Tachyglossus aculeatus)

Stochastic Leslie matrix population projection model for the brush turkey (Alectura lathami)

Map Population Changes of the Yellow-spotted River Turtle

This repository stores the code for applying Viability Population Monitoring (trend of extinction risk assessment through monitoring) to eBird data. It includes fitting special version of the Stochastic Gompertz State-Space population model.

Data and code used in "Transient demographic dynamics of recovering fish populations shaped by past climate variability, harvest, and management"