{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Alexander Hanf", "hasEmail": "mailto:hanf.alexander@epa.gov"}, "description": "Functions and data tables for simulation and statistical analysis of chemical toxicokinetics (\"TK\") as in Pearce et al. (2017) <doi:10.18637/jss.v079.i04>. Chemical-specific in vitro data have been obtained from relatively high throughput experiments. Both physiologically-based (\"PBTK\") and empirical (e.g., one compartment) \"TK\" models can be parameterized for several hundred chemicals and multiple species. These models are solved efficiently, often using compiled (C-based) code. \n\nThis dataset is associated with the following publication:\nPearce , R., C. Strope , W. Setzer , N. Sipes , and J. Wambaugh. (Journal of Statistical Software) HTTK: R Package for High-Throughput Toxicokinetics.   Journal of Statistical Software. American Statistical Association, Alexandria, VA, USA, 79(4): 1-26, (2017).", "distribution": [{"accessURL": "https://cran.r-project.org/web/packages/httk/index.html", "title": "https://cran.r-project.org/web/packages/httk/index.html"}], "identifier": "https://doi.org/10.23719/1504255", "keyword": ["ToxCast", "high-throughput", "pharmacokinetics", "httk", "ExpoCast", "exposure"], "license": "https://pasteur.epa.gov/license/sciencehub-license.html", "modified": "2017-07-17", "programCode": ["020:095"], "publisher": {"name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": {"name": "U.S. Environmental Protection Agency", "subOrganizationOf": {"name": "U.S. Government"}}}, "references": ["https://doi.org/10.18637/jss.v079.i04"], "rights": null, "title": "HTTK: R Package for High-Throughput Toxicokinetics"}