Title: High-Throughput Generation of Genetic Markers and Maps from
Molecular Phenotypes for Crosses Between Inbred Strains
Description: High-throughput generation of genetic markers from molecular phenotypes for crosses between inbred strains. These markers can be use to saturate existing genetic map or creating a new one.

Title: Continuous Development Models for Incremental Time-Series
Authors@R: person("Bijan", "Seyednasrollah", email = "bijan.s.nasr@gmail.com", role = c("aut", "cre"))
Description: Using the Bayesian state-space approach, we developed a continuous development model to quantify dynamic incremental changes in the response variable. While the model was originally developed for daily changes in forest green-up, the model can be used to predict any similar process. The CDM can capture both timing and rate of nonlinear processes. Unlike statics methods, which aggregate variations into a single metric, our dynamic model tracks the changing impacts over time. The CDM accommodates nonlinear responses to variation in predictors, which changes throughout development.

Author: Bijan Seyednasrollah, Jennifer Swenson, Jean-Christophe Domec, James S. Clark

Author: Bijan Seyednasrollah, Jennifer J. Swenson, Jean-Christophe Domec, James S. Clark

Title: Interacting with the PhenoCam Data and API
Description: A bundle to facilitate working with PhenoCam timeseries and data.   The user would be able to obtain phenological time-series and site metadata from the PhenoCam network <https://phenocam.sr.unh.edu/webcam/>.
Depends: data.table, lubridate, rjson, RCurl, utils,
Suggests: testthat, knitr, rmarkdown, jpeg,

Depends: R (>= 3.4.0), data.table, rjson, RCurl, utils,

Title: Facilitates 'PhenoCam' Data Access and Time Series
Programmatic interface to the 'PhenoCam' web services (<http://phenocam.sr.unh.edu>).
Allows for easy downloading of 'PhenoCam' data directly to your R workspace
or your computer and provides post-processing routines for consistent and easy
timeseries outlier detection, smoothing and estimation of phenological transition dates.
Methods for this package are described in detail in Hufkens et. al (2018) <doi:10.1111/2041-210X.12970>.
Imports: shiny, shinydashboard, leaflet, plotly, jsonlite, changepoint,
curl, zoo, utils, graphics, DT, stats, daymetr