DESCRIPTION

Package: Castor
Type: Package
Title: Characterization and Analysis of Statistical Time series comprised Of Real-world data
Version: 0.1.0
Date: 2020-10-2
Authors@R: c(
  person("Anthony", "Molinaro", email = "amolin19@its.jnj.com", role = c("aut", "cre")),
  person("Frank", "DeFalco", email = "fdefalco@its.jnj.com", role = c("aut")),
  person("Observational Health Data Science and Informatics", role = c("cph"))
  )
Maintainer: Anthony Molinaro <amolin19@its.jnj.com>
Description: Castor is an R package that facilitates exploratory analysis of temporal data in an 
             observational database in the OMOP Common Data Model v5.x.  It enables you to extract the 
			 desired data from your database and build univariate or multivariate time series objects.  Each time 
			 series can represent either a single concept or a concept set.  A concept set time series 
			 combines the data for multiple concepts into a single multivariate time series object.  
			 Non-parametric methods useful for supporting the following characaterization of a time series 
			 are supplied: moving average computation, trend determination, transition and change point detection, 
			 outlier detection, interval classification, and seasonality determination.
             Castor makes no distributional assumptions about the data and thus provides no methods for forecasting.  			 
License: Apache License 2.0
VignetteBuilder: knitr
URL: https://ohdsi.github.io/Castor, https://github.com/OHDSI/Castor
BugReports: https://github.com/OHDSI/Castor/issues
Depends:
	R (>= 3.5.0),
	DatabaseConnector (>= 2.2.0)
Imports:
	dplyr,
	SqlRender (>= 1.5.2),
	tseries
NeedsCompilation: no
RoxygenNote: 7.1.1
Roxygen: list(markdown = TRUE)
Encoding: UTF-8