Add some ‘AdminLTE2’ Components to ‘Shinydashboard’ (shinydashboardPlus)
Extend ‘shinydashboard’ with ‘AdminLTE2’ components. Customize boxes, add timelines and a lot more.

Dynamic Simulation and Testing for Single-Equation ARDL Models (dynamac)
While autoregressive distributed lag models allow for extremely flexible dynamics, interpreting substantive significance of complex lag structures remains difficult. This package is designed to assist users in dynamically simulating and plotting the results of various autoregressive distributed lag models. It also contains post-estimation diagnostics, including a test for cointegration when estimating the error-correction variant of the autoregressive distributed lag model (Pesaran, Shin, and Smith 2001 <doi:10.1002/jae.616>).

Test Shiny Apps (shinytest)
For automated testing of Shiny applications, using a headless browser, driven through ‘WebDriver’.

Dataframe Difference Tool (diffdf)
Functions for comparing two data.frames against each other. The core functionality is to provide a detailed breakdown of any differences between two data.frames as well as providing utility functions to help narrow down the source of problems and differences.

Integro-Difference Equation Spatio-Temporal Models (IDE)
The Integro-Difference Equation model is a linear, dynamical model used to model phenomena that evolve in space and in time; see, for example, Cressie and Wikle (2011, ISBN:978-0-471-69274-4) or Dewar et al. (2009) <doi:10.1109/TSP.2008.2005091>. At the heart of the model is the kernel, which dictates how the process evolves from one time point to the next. Both process and parameter reduction are used to facilitate computation, and spatially-varying kernels are allowed. Data used to estimate the parameters are assumed to be readings of the process corrupted by Gaussian measurement error. Parameters are fitted by maximum likelihood, and estimation is carried out using an evolution algorithm.