'pathway.r' 'GWASdata.r' 'data.R' 'get_network_matrix.r'
'kernel.r' 'lkmt.r'
methods, bigmemory, sqldf, biomaRt, KEGGgraph, CompQuadForm,
data.table, lattice, igraph

Kantorovich Distance Between Probability Measures
Computes the Kantorovich distance between two probability measures on a finite set.

Computes the Kantorovich distance between two probability measures on a finite set. The Kantorovich distance is also known as the Monge-Kantorovich distance or the first Wasserstein distance.

rcdd, gmp, methods, lpSolve, Rglpk, slam, CVXR

Encoding of Sequences Based on Frequency Matrix Chaos Game
Representation
Dominik Eger and Hannah Franziska Löchel
Sequences encoding by using the chaos game representation.
Löchel et al. (2019) <doi:10.1101/575324>.

Sequences encoding by using the chaos game representation.
Löchel et al. (2019) <doi:10.1093/bioinformatics/btz493>.

Test the Homogeneity of Kappa Statistics
Tests the homogeneity of intraclass kappa statistics obtained from independent studies or a stratified study with binary results. It is desired to compare the kappa statistics obtained in multi-center studies or in a single stratified study to give a common or summary kappa using all available information. If the homogeneity test of these kappa statistics is not rejected, then it is possible to make inferences over a single kappa statistic that summarizes all the studies. Jun-mo Nam (2003) <doi:10.1111/j.0006-341X.2003.00118.x> Jun-mo Nam (2005) <doi:10.1002/sim.2321>Mousumi Banerjee, Michelle Capozzoli, Laura McSweeney,Debajyoti Sinha (1999) <doi:10.2307/3315487> Allan Donner, Michael Eliasziw, Neil Klar (1996) <doi:10.2307/2533154>.

Tests the homogeneity of intraclass kappa statistics obtained from independent studies or a stratified study with binary results. It is desired to compare the kappa statistics obtained in multi-center studies or in a single stratified study to give a common or summary kappa using all available information. If the homogeneity test of these kappa statistics is not rejected, then it is possible to make inferences over a single kappa statistic that summarizes all the studies. Muammer Albayrak, Kemal Turhan, Yasemin Yavuz, Zeliha Aydin Kasap (2019) <doi:10.1080/03610918.2018.1538457> Jun-mo Nam (2003) <doi:10.1111/j.0006-341X.2003.00118.x> Jun-mo Nam (2005) <doi:10.1002/sim.2321>Mousumi Banerjee, Michelle Capozzoli, Laura McSweeney,Debajyoti Sinha (1999) <doi:10.2307/3315487> Allan Donner, Michael Eliasziw, Neil Klar (1996) <doi:10.2307/2533154>.