# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "tulpaObs" in publications use:'
type: software
license: MIT
title: 'tulpaObs: Bayesian Occupancy, Abundance and Detection Models via ''tulpa'''
version: 0.6.1
doi: 10.32614/CRAN.package.tulpaObs
abstract: 'Fits Bayesian models for species observed with imperfect detection: single-season
  and dynamic site occupancy (MacKenzie et al. (2002) <https://doi.org/10.1890/0012-9658(2002)083[2248:ESORWD]2.0.CO;2>),
  N-mixture abundance from replicated counts (Royle (2004) <https://doi.org/10.1111/j.0006-341X.2004.00142.x>),
  distance sampling, removal and double-observer counts, false-positive and time-to-detection
  occupancy, integrated models combining several data sources, multi-species and joint
  species distribution models, and a hurdle model for vegetation cover. Linear predictors
  take fixed, random, spatial and temporal effects. Each model supplies its observation
  likelihood to the ''tulpa'' engine, which fits it by Laplace approximation, by nested
  Laplace integration over the hyperparameters, or by Hamiltonian Monte Carlo with
  the No-U-Turn Sampler (NUTS) using automatic differentiation. Simulation, prediction
  and diagnostic functions (posterior predictive checks, leave-one-out cross-validation,
  simulation-based calibration) accompany each model.'
authors:
- family-names: Colling
  given-names: Gilles
  email: gilles.colling051@gmail.com
  orcid: https://orcid.org/0000-0003-3070-6066
repository: https://gcol33.r-universe.dev
repository-code: https://github.com/gcol33/tulpaObs
commit: c47095846ba6204143ebb5e315116f83db2ea5df
url: https://gillescolling.com/tulpaObs/
date-released: '2026-10-12'
contact:
- family-names: Colling
  given-names: Gilles
  email: gilles.colling051@gmail.com
  orcid: https://orcid.org/0000-0003-3070-6066