2025-03

• March 24: Ecological forecasting with R 📦's {mvgam} and {brms}

2024-12

• December 13: Ecological Time Series Analysis and Forecasting in R

2024-09

• September 6: State-Space Vector Autoregressions in mvgam

2024-06

• June 11: Incorporating time-varying seasonality in forecast models

2024-05

• May 27: Ecological forecasting with R 📦's {mvgam} and {brms}

• May 8: First release of mvgam(v1.1.0) to CRAN

• May 2: How to interpret and report nonlinear effects from Generalized Additive Models

2024-03

• March 12: Simulating data for model exploration in R

• March 12: mvgam

• March 10: Using Stan for logistic regressions with detection error

2024-02

• February 24: Phylogenetic smoothing using mgcv

2023-12

• December 14: Time series modeling with Bayesian Dynamic Generalized Additive Models

2023-11

• November 16: Using Stan to model geostatistical count data with distance matrices

• November 4: Ecological forecasting with dynamic GAMs

• November 2: Ecological forecasting with dynamic Generalized Additive Models (DGAMs)

2023-08

• August 15: Distributed lags (and hierarchical distributed lags) using mgcv and mvgam

2023-07

• July 16: Temporal autocorrelation in GAMs and the mvgam package

2023-03

• March 14: mrIML

2022-08

• August 16: Ascertainment and near-term forecasting of tick paralysis admissions

2021-06

• June 21: MRFcov