Homogeneity and Sparsity Detection Incorporating Prior
Constraint Information
c(person("Yaguang", "Li", role = c("aut", "cre"),
email = "liyg@mail.ustc.edu.cn"),
person("Baisuo", "Jin", role = "aut"))
R (>= 3.5.0), ncvreg, glmnet, quadprog, Matrix
We explore sparsity and homogeneity of regression coefficients incorporating prior constraint information. A general pairwise fusion approach is proposed to deal with the sparsity and homogeneity detection when combining prior convex constraints. We develop an modified alternating direction method of multipliers algorithm (ADMM) to obtain the estimators.

To test the homogeneity of stratum effects in stratified paired binary data.

Hidden Smooth Polynomial Regression for Rupture Detection
c(person("Florine", "Greciet", email = "florine.greciet@gmail.com", role = c("aut", "cre")), person("Romain", "Azais", email = "romain.azais@inria.fr", role = c("aut")))
Several functions that allow by different methods to infer a piecewise polynomial regression model under regularity constraints, namely continuity or differentiability of the link function. The implemented functions are either specific to data with two regimes, or generic for any number of regimes, which can be given by the user or learned by the algorithm. A paper describing all these methods will be submitted soon. The reference will be added to this file as soon as available.
Florine Greciet [aut, cre],
Romain Azais [aut]

Joint meta-analysis of diagnostic test sensitivity and
specificity with or without a gold standard reference test
R (>= 2.5.0), lattice, coda, MASS, MCMCpack
This package implements a model for joint meta-analysis of
sensitivity and specificity of the diagnostic test under
evaluation, while taking into account the possibly imperfect
sensitivity and specificity of the reference test. This
hierarchical model accounts for both within and between study
variability. Estimation is carried out using a Bayesian
approach, implemented via a Gibbs sampler. The model can be
applied in situations where more than one reference test is
used in the selected studies.