Fit GFuseTLP penalized conditional logistic regression model for high-dimensional one-to- one matched case-control dataHui Zhou, Shuang Wang & Tian Zheng
Fit GFuseTLP penalized conditional logistic regression model for high-dimensional one-to- one matched case-control data
These are the R source codes for the algorithm proposed for fitting exponential random graph models (ERGMs) on large social networks in our paper "Estimation of exponential random graph models for large social networks via graph limits". Specifically, the ERGM model we implement is the one that consider homomorphism densities of edges, two-stars and triangles, the one we examine in the above paper.
Testing large software packages can become very time intensive. To address this problem, researchers have investigated techniques such as Test Suite Minimization. Test Suite Minimization reduces the number of tests in a suite by removing tests that appear redundant, at the risk of a reduction in fault-finding ability since it can be difficult to identify which tests are truly redundant. We take a completely different approach to solving the same problem of long running test...
SPAr package for Fan and Lo (2013) \"A robust model-free approach for rare variants association studies incorporating gene-gene and gene-environmental interactions.\"Ruixue Fan & Shaw-Hwa Lo
Recently more and more evidence suggest that rare variants with much lower minor allele frequencies play significant roles in disease etiology. Advances in next-generation sequencing technologies will lead to many more rare variants association studies. Several statistical methods have been proposed to assess the effect of rare variants by aggregating information from multiple loci across a genetic region and testing the association between the phenotype and aggregated genotype. One limitation of existing methods is that...