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This study is focused on analyzing US Border Crossings viz a viz to identify which country is most associate US Border Crossings. Which US States is mostly use by illegal immigrants? Which are the busiest Ports? What mode of transport are employed? How many vehicles, boats and pedestrians cross into the US, daily, weekly, monthly, and yearly? Which season of the year has a greater number of crossings?
This repository is used by the developer site training content, Rome release. It is used for the Build the NeedIt App, Scripting in ServiceNow, Application Security, Importing Data, Automating Application Logic, Flow Designer, REST Integrations, Reporting and Analytics, Domain Separation, Mobile Applications, and Context-sensitive Help courses.
Given malaria parasite clearance profiles of a set of patients, the “bhrcr” package performs Bayesian hierarchical regression to estimate malaria parasite clearance rates along with the effect of covariates on them in the presence of “lag” and “tail” phases. In particular, the model performs a linear regression of the log clearance rates on covariates (parasite and host factors) to estimate the effects within a Bayesian hierarchical framework. All posterior inferences are obtained by a “Markov Chain Monte Carlo” based sampling scheme which forms the core of the package.
The US Accidents data is a countrywide traffic accident dataset, which covers 49 states of the United States.
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