Title: Modeling and Analysis of Stochastic Systems
Maintainer: Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>
Description: Compute important quantities when we consider stochastic systems that are observed continuously. Such as, Transition matrix, Transition distribution and Occupancy matrix. The methods are describe, for example, Ross S. (2014), Introduction to Probability Models. Eleven Edition. Academic Press.

Description: Compute important quantities when we consider stochastic systems that are observed continuously. Such as, Cost model, Limiting distribution, Transition matrix, Transition distribution and Occupancy matrix. The methods are described, for example, Ross S. (2014), Introduction to Probability Models. Eleven Edition. Academic Press.

Description: Compute important quantities when we consider stochastic systems that are observed continuously.
Such as, Cost model, Limiting distribution, Transition matrix, Transition distribution and Occupancy matrix.
The methods are described, for example, Ross S. (2014), Introduction to Probability Models. Eleven Edition. Academic Press.

Title: Evaluation of Classification Model Options
person("Younggun", "You", email = "younggun@stanford.edu", role = "cre"),
person("Eric", "Stickney", email = "eric13@stanford.edu", role = "aut")
Description: Designed to assist novice to intermediate analysts in choosing
an optimal classification model, particularly for working with relatively
small data sets. It provides cross-validated results comparing several
different models at once using a consistent set of performance metrics,
so users can hone in on the most promising approach rather than attempting
single model fittings at a time. The package predefined 12 most common
classification models, although users are free to select from the 200+
other options available in caret package.
Imports: mlbench, e1071, purrr, magrittr, ggplot2, ModelMetrics, dplyr,
stringr, gridExtra, tibble, psych, utils, knitr, caret

Title: A 'shiny' Module for Reading Excel Sheets
Depends: shiny, DT, shinydashboard, readxl
Description: This is a shiny module that presents a file picker user interface to get an Excel file name, and reads the Excel sheets using 'readxl' package and returns the resulting sheet(s) as a vector and data in dataframe(s).