Fast Mutual Information Based Independence Test
c(
person("Shiyun", "Lin", , "linshy27@mail2.sysu.edu.cn", c("aut", "cre")),
person("Jin", "Zhu", , "zhuj37@mail2.sysu.edu.cn", "aut"),
person("Wenliang", "Pan", role = "aut"),
person("Xueqin", "Wang", , "wangxq88@mail.sysu.edu.cn", role = "aut"),
person("SC2S2", role = c("cph"))
)
A mutual information estimator based on k-nearest neighbor method proposed by A. Kraskov, et al. (2004) <doi:10.1103/PhysRevE.69.066138> to measure general dependence and the time complexity for our estimator is only squared to the sample size, which is faster than other statistics. Besides, an implementation of mutual information based independence test is provided for analyzing multivariate data in Euclidean space (T B. Berrett, et al. (2019) <doi:10.1093/biomet/asz024>); furthermore, we extend it to tackle datasets in metric spaces.
Shiyun Lin [aut, cre],
Jin Zhu [aut],
Wenliang Pan [aut],
Xueqin Wang [aut],
SC2S2 [cph]

c(
person("Nazrul", "Shaikh", email = "networkgroupr@gmail.com", role = c("aut","cre")),
person("Xu", "Dong", email = "x.dong3@umiami.edu", role = "aut"),
person("Luis", "Castro", email = "luiscastroabril@miami.edu", role = "aut"),
person("Christian", "Llano", email = "cxl985@miami.edu", role = "ctb")
)
We present an implementation of the algorithms required to simulate large-scale social networks and retrieve their most relevant metrics.
Nazrul Shaikh [aut, cre],
Xu Dong [aut],
Luis Castro [aut],
Christian Llano [ctb]

We present an implementation of the algorithms required to simulate
large-scale social networks and retrieve their most relevant metrics. Details
can be found in the accompanying scientific paper on the Journal
of Statistical Software, <doi:10.18637/jss.v096.i07>.

Finds the Critical Sequential Point of Stability for a Pearson
Correlation
person("Johannes", "Titz", email = "johannes.titz@gmail.com",
role = c("aut", "cre", "cph"))
Finds the critical sample size ("point of stability") for a
correlation to stabilize in Schoenbrodt and Perugini's definition of
sequential stability (see <doi:10.1016/j.jrp.2013.05.009>).