[
  {
    "title": "\\{transitreg\\}\\: Flexible Transition Models for Probabilistic Learning",
    "author": [
      {
        "given": {},
        "family": "c",
        "role": {},
        "email": {},
        "comment": "\"aut\", \"cre\""
      },
      {
        "given": ["email", "="],
        "family": "\"Nikolaus.Umlauf@uibk.ac.at\"",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": ["comment", "=", "c"],
        "family": ")",
        "role": {},
        "email": {},
        "comment": "ORCID = \"0000-0003-2160-9803\""
      },
      {
        "given": "person",
        "family": "))",
        "role": {},
        "email": {},
        "comment": "ORCID = \"0000-0002-3798-5507\""
      }
    ],
    "year": "2026",
    "note": "R package version 0.2-1",
    "url": "https://github.com/retostauffer/transitreg"
  },
  {
    "author": [
      {
        "given": "Moritz",
        "family": "Berger",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Gerhard",
        "family": "Tutz",
        "role": {},
        "email": {},
        "comment": {}
      }
    ],
    "title": "Transition Models for Count Data: a Flexible Alternative to Fixed Distribution Models",
    "journal": "Statistical Methods {\\&} Applications",
    "year": "2021",
    "volume": "30",
    "number": "4",
    "pages": "1259--1283",
    "doi": "10.1007/s10260-021-00558-6"
  }
]