README.md

In andreamrau/rpl: Randomized pairwise likelihood method for complex statistical inferences

rpl: Randomized pairwise likelihood method for complex statistical inferences

The rpl package can be installed by using the following commands:

library(devtools)
devtools::install_github("andreamrau/rpl")
library(rpl)

To also build the vignette (still under construction), you can use the following (note that this will require the installation of some extra packages):

devtools::install_github("andreamrau/rpl", build_vignettes=TRUE)
library(rpl)

rpl implements an algorithm for a randomized pairwise likelihood approach that enables computationally efficient statistical inference, including the construction of confidence intervals, in cases where the full likelihood is too complex to be used (e.g., multivariate count data). The primary functions of this package are as follows:

• rpl_optim: optimize model parameters for a given correlation matrix structure ("unstructured", "exchangeable", "block_exchangeable", or "factor")
• rpl_se: calculate standard errors for model parameters for a given correlation matrix structure ("unstructured")
• init: obtain reasonable values to initialize marginal and correlation parameters for use in the rpl_optim function
• simulate_mvt_poisson: simulate multivariate Poisson data with a given correlation matrix structure ("unstructured", "exchangeable", "block_exchangeable", or "factor")

If you use rpl in your research, please cite our work:

• Mazo, G., Karlis, D., Rau, A. (2021) A randomized pairwise likelihood method for complex statistical inferences. In revision. hal-03126621

andreamrau/rpl documentation built on April 26, 2023, 3:57 p.m.