# Risk regression for survival analysis

The following source code and examples are used for Risk regression for survival analysis.

The following source code and examples are used for Risk regression for survival analysis.

The following source code and examples are used for Mixture model approach to compare two samples of Tiling Array data that takes into account the dependence between probes and the structural annotation.

The following source code and examples are used for Time Indexes and Time Indexed Series that are compatible with FAME frequencies.

The following source code and examples are Maximal Information-Based Nonparametric Exploration R package for Variable Analysis that implements Maximal Information-based Nonparametric Exploration statistics.

The following source code and examples are used for fitting sparse linear regression models via nonconvex optimization that computes the regularization surface over both the family parameter and the tuning parameter by coordinate descent.

The following source code and examples are used for detection of spatial clusters of diseases using count data.

The following source code and examples are used for Exact Hardy-Weinburg testing for Genome Wide Association Studies that contains a function to do exact Hardy-Weinburg testing (using Fisher's test) for SNP genotypes as typically obtained in a Genome Wide Association Study (GWAS).

The following source code and examples are used for Metric Unfolding that provides Schoeneman's algorithm for metric multidimensional unfolding and Procrustes rotation of unfolding results.

The following source code and examples are used for spatial epidemiological analyses that carry out Cluster Detection, Disease Mapping.

The following source code and examples are used for Adaptive Kmeans algorithm based on threshold that support two distance metric at the first version: Euclidean distance, Cosine distance.