Description: The K-sample omnibus non-proportional hazards (KONP) tests are powerful non-parametric tests for comparing K (>=2) hazard functions based on right-censored data (Gorfine, Schlesinger and Hsu, 2020, <doi:10.1177/0962280220907355>). These tests are consistent against any differences between the hazard functions of the groups. The KONP tests are often more powerful than other existing tests, especially under non-proportional hazard functions.
Packaged: 2022-01-03 16:28:18 UTC; matan.schlesinger

Description: Implements different methods for spatial statistics, in particular focused in
Kriging based models. We count with different implemented models, simple, ordinary and
universal forms of Kriging, co-Kriging and regression Kriging models. Includes, multivariate
sensitivity analysis under an approximation designed over reproducing kernel Hilbert spaces and
computation of Sobol indexes under this framework.
person("Pedro", "Guarderas", email = "pedro.felipe.guarderas@gmail.com", role = c("aut","cre") ),
Suggests: data.table, colorRamps, plotly, knitr, rmarkdown, testthat

Title: Keen and Reliable Interface Subroutines for Bioinformatic
Authors@R: c(person(given = "Kridsadakorn", family = "Chaichoompu", email = "kridsadakorn.chaichoompu@gmail.com", role = c("aut", "cre")),person(given = "Kristel", family = 'Van Steen', role = "aut"),person(given = "Fentaw", family = "Abegaz", role = "aut"),person(given = "Sissades", family = "Tongsima", role = "aut"),person(given = "Philip", family = "James Shaw", role = "aut"),person(given = "Anavaj", family = "Sakuntabhai", role = "aut"),person(given = "Luisa", family = "Pereira", role = "aut"))
Description: Provides useful functions which are needed for bioinformatic analysis such as calculating linear principal components from numeric data and Single-nucleotide polymorphism (SNP) dataset, calculating fixation index (Fst) using Hudson method, creating scatter plots in 3 views, handling with PLINK binary file format, detecting rough structures and outliers using unsupervised clustering, and calculating matrix multiplication in the faster way for big data.
Packaged: 2018-05-07 12:20:40 UTC; kridsadakorn