Showing 8 of total 8 results (show query)
dreamrs
shinyWidgets:Custom Inputs Widgets for Shiny
Collection of custom input controls and user interface components for 'Shiny' applications. Give your applications a unique and colorful style !
Maintained by Victor Perrier. Last updated 25 days ago.
849 stars 17.05 score 8.1k scripts 218 dependentsrinterface
shinydashboardPlus:Add More 'AdminLTE2' Components to 'shinydashboard'
Extend 'shinydashboard' with 'AdminLTE2' components. 'AdminLTE2' is a free 'Bootstrap 3' dashboard template available at <https://adminlte.io>. Customize boxes, add timelines and a lot more.
Maintained by David Granjon. Last updated 8 months ago.
dashboardhacktoberfest2022shinyshiny-appsshinydashboard
461 stars 13.82 score 1.1k scripts 28 dependentsrinterface
bs4Dash:A 'Bootstrap 4' Version of 'shinydashboard'
Make 'Bootstrap 4' Shiny dashboards. Use the full power of 'AdminLTE3', a dashboard template built on top of 'Bootstrap 4' <https://github.com/ColorlibHQ/AdminLTE>.
Maintained by David Granjon. Last updated 7 months ago.
bootstrap4dashboard-templateshacktoberfest2022shinyshiny-appsshinydashboard
442 stars 12.87 score 1.2k scripts 15 dependentskvnkuang
pbmcapply:Tracking the Progress of Mc*pply with Progress Bar
A light-weight package helps you track and visualize the progress of parallel version of vectorized R functions (mc*apply). Parallelization (mc.core > 1) works only on *nix (Linux, Unix such as macOS) system due to the lack of fork() functionality, which is essential for mc*apply, on Windows.
Maintained by Kevin kuang. Last updated 3 years ago.
44 stars 10.36 score 972 scripts 67 dependentsssnn-airr
alakazam:Immunoglobulin Clonal Lineage and Diversity Analysis
Provides methods for high-throughput adaptive immune receptor repertoire sequencing (AIRR-Seq; Rep-Seq) analysis. In particular, immunoglobulin (Ig) sequence lineage reconstruction, lineage topology analysis, diversity profiling, amino acid property analysis and gene usage. Citations: Gupta and Vander Heiden, et al (2017) <doi:10.1093/bioinformatics/btv359>, Stern, Yaari and Vander Heiden, et al (2014) <doi:10.1126/scitranslmed.3008879>.
Maintained by Susanna Marquez. Last updated 3 months ago.
10.33 score 424 scripts 7 dependentsdkaschek
dMod:Dynamic Modeling and Parameter Estimation in ODE Models
The framework provides functions to generate ODEs of reaction networks, parameter transformations, observation functions, residual functions, etc. The framework follows the paradigm that derivative information should be used for optimization whenever possible. Therefore, all major functions produce and can handle expressions for symbolic derivatives.
Maintained by Daniel Kaschek. Last updated 24 days ago.
20 stars 8.35 score 251 scriptssyncrosim
rsyncrosim:The R Interface to 'SyncroSim'
'SyncroSim' is a generalized framework for managing scenario-based datasets (<https://syncrosim.com/>). 'rsyncrosim' provides an interface to 'SyncroSim'. Simulation models can be added to 'SyncroSim' in order to transform these datasets, taking advantage of general features such as defining scenarios of model inputs, running Monte Carlo simulations, and summarizing model outputs. 'rsyncrosim' requires 'SyncroSim' 2.3.5 or higher (API documentation: <https://docs.syncrosim.com/>).
Maintained by Katie Birchard. Last updated 23 days ago.
9 stars 7.09 score 189 scripts