_pkgdown.yml

url: https://bking124.github.io/countSTAR/
template:
  bootstrap: 5
authors:
  Dan Kowal:
    href: http://www.danielrkowal.com/
  Brian King:
    href: https://bking124.github.io/

reference:
- title: Classical STAR Regression
  desc: Methods for STAR models estimated using EM algorithm
- contents:
  - lm_star
  - confint.lmstar
  - predict.lmstar
  - pvals
  - randomForest_star
  - gbm_star
  - genEM_star
- title: Bayesian STAR Regression
  desc: Methods for STAR models estimated using Bayesian methods (either Gibbs sampling or exact Monte Carlo estimation in certain scenarios)
- contents:
  - blm_star
  - bam_star
  - bart_star
  - spline_star
  - genMCMC_star
  - init_lm_gprior
  - sample_lm_gprior
- title: WarpDLMs (Count Time Series Modeling)
  desc: Methods for warped Dynamic Linear Models to perform Bayesian inference and forecasting for count-valued time series
- contents:
  - warpDLM
- title: Helper Functions
- subtitle: Transformation and Rounding Functions
- contents:
  - a_j
  - round_floor
  - starts_with("g_")
- subtitle: Simulation and Visualization
- contents:
  - starts_with("simulate")
  - starts_with("plot")
  - simBaS
  - credBands
  - getEffSize
  - ergMean
- title: internal
- contents:
  - has_keyword("datasets")