Simulating Survival Data Using the simsurv R Package

Meta-Analysis in R Using Package rmeta

Meta-Analysis means a statistical analysis on the results of their findings is to combine a large number of independent studies. Meta-Analysis software is needed to be done for convenience, Statistical Software for Meta-Analysis is available in many statistical packages available in the present study provide software R is for Meta-Analysis. First, a brief description of the Meta-Analysis, Stati...

Exploratory compositional data analysis using the R-package robCompositions

Compositional data are multivariate observations that carry only relative information. This means that not the absolute values but the ratios between the variables are of interest. This is important also for an exploratory analysis of such data. We present two basic methods for the exploratory compositional data analysis (ECDA), namely multivariate outlier detection and the compositional biplot...

Using the cherry R package

The kinship2 R package for pedigree data.

BACKGROUND The kinship2 package is restructured from the previous kinship package. Existing features are now enhanced and new features added for handling pedigree objects. METHODS Pedigree plotting features have been updated to display features on complex pedigrees while adhering to pedigree plotting standards. Kinship matrices can now be calculated for the X chromosome. Other methods have be...

gems: An R Package for Simulating from Disease Progression Models.

Mathematical models of disease progression predict disease outcomes and are useful epidemiological tools for planners and evaluators of health interventions. The 𝖱 package gems is a tool that simulates disease progression in patients and predicts the effect of different interventions on patient outcome. Disease progression is represented by a series of events (e.g., diagnosis, treatment and dea...