Showing 10 of total 10 results (show query)
talgalili
dendextend:Extending 'dendrogram' Functionality in R
Offers a set of functions for extending 'dendrogram' objects in R, letting you visualize and compare trees of 'hierarchical clusterings'. You can (1) Adjust a tree's graphical parameters - the color, size, type, etc of its branches, nodes and labels. (2) Visually and statistically compare different 'dendrograms' to one another.
Maintained by Tal Galili. Last updated 2 months ago.
154 stars 17.13 score 6.0k scripts 165 dependents
mayoverse
arsenal:An Arsenal of 'R' Functions for Large-Scale Statistical Summaries
An Arsenal of 'R' functions for large-scale statistical summaries, which are streamlined to work within the latest reporting tools in 'R' and 'RStudio' and which use formulas and versatile summary statistics for summary tables and models. The primary functions include tableby(), a Table-1-like summary of multiple variable types 'by' the levels of one or more categorical variables; paired(), a Table-1-like summary of multiple variable types paired across two time points; modelsum(), which performs simple model fits on one or more endpoints for many variables (univariate or adjusted for covariates); freqlist(), a powerful frequency table across many categorical variables; comparedf(), a function for comparing data.frames; and write2(), a function to output tables to a document.
Maintained by Ethan Heinzen. Last updated 8 months ago.
baseline-characteristicsdescriptive-statisticsmodelingpaired-comparisonsreportingstatisticstableone
225 stars 13.40 score 1.2k scripts 15 dependents
datastorm-open
shinymanager:Authentication Management for 'Shiny' Applications
Simple and secure authentification mechanism for single 'Shiny' applications. Credentials can be stored in an encrypted 'SQLite' database or on your own SQL Database (Postgres, MySQL, ...). Source code of main application is protected until authentication is successful.
Maintained by Benoit Thieurmel. Last updated 11 months ago.
391 stars 10.51 score 316 scripts 2 dependents
hafen
trelliscopejs:Create Interactive Trelliscope Displays
Trelliscope is a scalable, flexible, interactive approach to visualizing data (Hafen, 2013 <doi:10.1109/LDAV.2013.6675164>). This package provides methods that make it easy to create a Trelliscope display specification for TrelliscopeJS. High-level functions are provided for creating displays from within 'tidyverse' or 'ggplot2' workflows. Low-level functions are also provided for creating new interfaces.
Maintained by Ryan Hafen. Last updated 1 years ago.
262 stars 9.61 score 1000 scripts 1 dependents
hesim-dev
hesim:Health Economic Simulation Modeling and Decision Analysis
A modular and computationally efficient R package for parameterizing, simulating, and analyzing health economic simulation models. The package supports cohort discrete time state transition models (Briggs et al. 1998) <doi:10.2165/00019053-199813040-00003>, N-state partitioned survival models (Glasziou et al. 1990) <doi:10.1002/sim.4780091106>, and individual-level continuous time state transition models (Siebert et al. 2012) <doi:10.1016/j.jval.2012.06.014>, encompassing both Markov (time-homogeneous and time-inhomogeneous) and semi-Markov processes. Decision uncertainty from a cost-effectiveness analysis is quantified with standard graphical and tabular summaries of a probabilistic sensitivity analysis (Claxton et al. 2005, Barton et al. 2008) <doi:10.1002/hec.985>, <doi:10.1111/j.1524-4733.2008.00358.x>. Use of C++ and data.table make individual-patient simulation, probabilistic sensitivity analysis, and incorporation of patient heterogeneity fast.
Maintained by Devin Incerti. Last updated 6 months ago.
health-economic-evaluationmicrosimulationsimulation-modelingcpp
67 stars 8.12 score 41 scripts
kwb-r
kwb.plot:some useful functions for plotting
Some useful functions for plotting.
Maintained by Hauke Sonnenberg. Last updated 2 years ago.
data-visualisationproject-fakinproject-miacso
3.59 score 1 scripts 26 dependents
ai4ci
huxtableone:Descriptive Tables for Observational or Interventional Studies
Generating tabular summaries of data in a format suitable for reporting in journal articles is fiddly and slows down more detailed analysis. Comparing two populations with respect to an intervention, and reporting it is a task that can be largely automated.
Maintained by Robert Challen. Last updated 2 months ago.
3.30 score
diegoefe
shinydbauth:Simple Authentification for 'shiny' Applications
Provides a simple authentification mechanism for single 'shiny' applications. Authentification and password change functionality are performed calling user provided functions that typically access some database backend. Source code of main applications is protected until authentication is successful.
Maintained by Diego Florio. Last updated 8 months ago.
4 stars 3.30 score 1 scripts
cran
reportRmd:Tidy Presentation of Clinical Reporting
Streamlined statistical reporting in 'Rmarkdown' environments. Facilitates the automated reporting of descriptive statistics, multiple univariate models, multivariable models and tables combining these outputs. Plotting functions include customisable survival curves, forest plots from logistic and ordinal regression and bivariate comparison plots.
Maintained by Lisa Avery. Last updated 2 months ago.
3.18 score 1 dependents
adatar-do
labeler:Easy to use and share data labels in R
Functions to assign and use data labels in an easy and efficient way. With an easy-to-share structure.
Maintained by Daniel E. de la Rosa. Last updated 7 months ago.
1.70 score 5 scripts