Hierarchical clustering for spatial data, which requires clustering
results not only homogeneous in non-geographical features among samples but
also geographically close to each other within a cluster. It modified typically
used hierarchical agglomerative clustering algorithms for introducing the spatial
homogeneity, by considering geographical locations as vertices and converting
spatial adjacency into whether a shared edge exists between a pair of vertices
(Tzeng & Hsu, 2022) <arXiv:2201.08302>. The constraints of the vertex links
automatically enforce the spatial contiguity property at each step of iterations.
In addition, methods to find an appropriate number of clusters and to report
cluster members are also provided.
c(person("ShengLi", "Tzeng", email = "slt.cmu@gmail.com", role=c("cre","aut")),
person("Hao-Yun", "Hsu", email = "zoez5230100@gmail.com", role="aut"))
ShengLi Tzeng [cre, aut],
Hao-Yun Hsu [aut]

Regression with a Large Number of Potential Explanatory
Variables
Software for performing the reduction, exploratory and model selection phases of the procedure proposed by Cox, D.R. and Battey, H.S. (2017) <doi:10.1073/pnas.1703764114> for sparse regression when the number of potential explanatory variables far exceeds the sample size. The software supports linear regression, likelihood-based fitting of generalized linear regression models and the proportional hazards model fitted by partial likelihood.

R (>= 3.5.0), mvtnorm, ggplot2, survival,

R (>= 2.10), mvtnorm, ggplot2, survival,

High Dimensional Bayesian Ridge Regression without MCMC
c(person("Sergio Perez-Elizalde", "Developer", role = "aut"),
person("Blanca Monroy-Castillo", "Developer", role = c("aut","cre"),
email = "blancamonroy.96@gmail.com"),
person("Paulino Perez-Rodriguez", "User", role = "ctb"))
The svd(singular value decomposition) or qr decomposition was using for the implementation, this avoid the recursion optimizing the time in the compute
<https://drive.google.com/drive/folders/1xJw7gM5_XiJipQ3grTZkfc6q4K0hzuCx?usp=sharing>.
Sergio Perez-Elizalde Developer [aut],
Blanca Monroy-Castillo Developer [aut, cre],
Paulino Perez-Rodriguez User [ctb]