Title: Behavioral change point analysis of animal movement
Description: The Behavioral Change Point Analysis (BCPA) is a method of
identifying hidden shifts in the underlying parameters of a time series,
developed specifically to be applied to animal movement data which is
irregularly sampled.  The original paper on which it is based is: E.
Gurarie, R. Andrews and K. Laidre A novel method for identifying
behavioural changes in animal movement data (2009) Ecology Letters 12:5
Depends: Rcpp (>= 0.10.2), intervals, plyr

irregularly sampled.  The method is based on: E.

Title: Behavioral Change Point Analysis of Animal Movement
irregularly sampled.  The method is based on: E. Gurarie, R. Andrews and
K. Laidre A novel method for identifying behavioural changes in animal
movement data (2009) Ecology Letters 12:5 395-408. A development version is
on <https://github.com/EliGurarie/bcpa>. NOTE: the BCPA method may be useful
for any univariate, irregularly sampled Gaussian time-series, but animal
movement analysts are encouraged to apply correlated velocity change point
analysis as implemented in the smoove package, as of this writing on GitHub
at <https://github.com/EliGurarie/smoove>. An example of a univariate analysis
is provided in the UnivariateBCPA vignette.
Suggests: knitr, lubridate, magrittr, circular, digest, rmarkdown

Title: Bayesian Multiple Changepoint Detection Using Metadata
Description: A Bayesian approach to detect mean shifts in AR(1) time series while accommodating metadata (if available). In addition, a linear trend component is allowed.

Title: Wrapper for SQL Server bcp Utility
Authors@R: person("Thomas", "Roh", email = "thomas@roh.engineering", role = c("aut", "cre"))
Description: Provides functions to utilize a command line utility that does bulk inserts and exports from SQL Server databases.

Description: Get Moroccan Stock Prices (historical data and intraday
changes), Market and Sector Indices and bonds.

Title: Bayesian continuous reasssessment method (CRM) designs for Phase
Description: This package implements a wide variety of one and
two-parameter Bayesian CRM designs. The program can run
interactively, allowing the user to enter outcomes after each
cohort has been recruited, or via simulation to assess