pclogit 0.1 / gfusetlpclogit 1.0
:: DESCRIPTION
pclogit (penalized conditional logistic) is an R package for penalized conditional/unconditional logistic regression using a network-based peanlty for matched/unmatched case-control data with grouped or graph-constrained variables. The algorithm is efficient for fitting the regularization path and for providing selection probabilities of each predictor for the anaylsis of high-dimensional matched/unmatched case-control data. It uses cyclical coordinate descent in a pathwise fashion.
gfusetlpclogit is an R package for penalized conditional/unconditional logistic regression that combines the truncated lasso penalty and a graph fuse-lasso penalty to induce parsimonious and consistent models, also to incorporate the network structure of correlated CpG sites in a gene without introducing extra bias. The algorithm is efficient for fitting the regularization path and for providing selection probabilities of each predictor for the anaylsis of high-dimensional matched/unmatched case-control data.
::DEVELOPER
Wang Lab @ Biostatistics Department
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Linux
- R
:: DOWNLOAD
:: MORE INFORMATION
Citation
Sun H, Wang S (2013)
“Network-based regularization for matched case-control analysis of high-dimensional DNA methylation data”
Statistics in Medicine, 32:2127–2139
Sun H, Wang S (2012)
“Penalized Logistic Regression for High-dimensional DNA Methylation Data with Case-Control Studies”
Bioinformatics, 28:1368-1375
