Title: Simulation from Endpoint-Conditioned Continuous Time Markov
Authors@R: person("Jon", "Fintzi", email = "fintzij@uw.edu",
Description: Draw sample paths for endpoint-conditioned continuous time Markov chains via modified rejection sampling or uniformization.

Packaged: 2018-05-01 16:30:16 UTC; Yoni Fintzi

Title: Embedding Charts Generated with ECharts Library into Shiny
Description: With this package, users can embed interactive charts to their Shiny applications. These charts will be generated by ECharts library developed by Baidu (http://echarts.baidu.com/). Current version support line charts, bar charts, pie charts and gauge.

person("Xiaodong", "Deng", role = c("aut", "cre"), email = "xd_deng@hotmail.com"),
person("Hao", "Zhu", role = "ctr", email = "haozhu233@gmail.com"),
person("Yiheng","Li",role = "ctr", email = "liyiheng.scott@gmail.com")
Description: With this package, users can embed interactive charts to their Shiny applications. These charts will be generated by ECharts library developed by Baidu (http://echarts.baidu.com/). Current version support line chart, bar chart, pie chart, scatter plot, gauge, word cloud, radar chart, and heat map.

Title: Embedding Interactive Charts Generated with ECharts Library into
person("Yiheng","Li",role = "ctr", email = "liyiheng.scott@gmail.com"),
Description: Embed interactive charts to their Shiny applications. These charts will be generated by ECharts library developed by Baidu (<http://echarts.baidu.com/>). Current version supports line chart, bar chart, pie chart, scatter plot, gauge, word cloud, radar chart, tree map, and heat map.

person("ChinYong","Lim",role = "ctr", email = "chinyong.net@gmail.com")

Description: With this package, users can embed interactive charts to their Shiny applications. These charts will be generated by ECharts library developed by Baidu (http://echarts.baidu.com/). Current version supports line chart, bar chart, pie chart, scatter plot, gauge, word cloud, radar chart, tree map, and heat map.

Title: Complexity Measures for Classification Problems
Description: Provides measures to characterize the complexity of classification
problems based on the ambiguity and the separation between the classes and
the data sparsity and dimensionality of the datasets. This package provides
bug fixes, generalizations and implementations of many state of the art
measures. The measures are described in the paper: Tin Ho and Mitra Basu
Packaged: 2018-01-22 12:43:26 UTC; lpfgarcia