Title: Empirical-likelihood test (two-sample, censored data)
Author: William H. Barton <bbarton@lexmark.com> under the supervision
Maintainer: William H. Barton <bbarton@lexmark.com>
Description: Calculates the p-value for a mean-type hypothesis (or
multiple mean-type hypotheses) based on two samples.
Packaged: Mon Apr 27 16:53:07 2009; bbarton

Title: Empirical Likelihood Ratio Test for Two Samples with Censored
Author: William H. Barton <williamhbarton1@gmail.com> under the supervision of Dr. Mai Zhou <mai@ms.uky.edu>
Maintainer: William H. Barton <williamhbarton1@gmail.com>
Description: Calculates the p-value for a mean-type hypothesis (or multiple mean-type hypotheses) based on two samples with censored data.

Author: William H. Barton <williamhbarton1@gmail.com> under the supervision of Dr. Mai Zhou
Description: Calculates the p-value for a mean-type hypothesis (or multiple mean-type hypotheses) based on
two samples with possible censored data.

Title: Epimed Solutions Collection for Data Editing, Analysis, and
Authors@R: c(person("Lunna", "Borges", role = c("aut"),
person("Pedro", "Brasil", role = c("aut", "cre"),
Description: Collection of functions for data analysis and
editing. Most of them are related to benchmarking with prediction models.

editing of clinical and epidemiological data.
Most of them are related to benchmarking with prediction models.

Authors@R: c(person("Lunna", "Borges", role = c("aut","cre"),
person("Pedro", "Brasil", role = c("aut"),
person("Camila", "Cardoso", role = c("aut"),
person("Caio", "Ferreira", role = c("aut"),
Most of them are related to benchmark with prediction models.

Description: Collection of functions related to benchmark with prediction models
for data analysis and editing of clinical and epidemiological data.
Packaged: 2021-02-25 12:55:06 UTC; lunna.borges

Packaged: 2021-12-09 19:46:18 UTC; thamires.marques

Packaged: 2020-03-18 20:44:30 UTC; lunna.borges

Title: Fast Computing Euclidean Minimum Spanning Trees
person(given="Allan", family="Quadros", email = "allanvcq@gmail.com",
person(given="Andre", family="Cancado", email = "cancado@unb.br",
person(given="Pedro", family="Brom", email = "pcbrom@gmail.com",
person(given="Eduardo", family="Hellas", email = "ehellas@gmail.com",
Description: Computes an Euclidean Minimum Spanning Tree using the Dual-Tree
implemented in 'mlpack' - the C++ Machine Learning library (Curtin, 2005,
<doi:10.21105/joss.00726>). 'emstreeR' works as a wrapper so that R users
can benefit from the fast C++ function for computing an Euclidean Minimum
Spanning Tree without touching the C++ code. The package also provides
functions and an S3 method for readily plotting the Minimum Spanning Trees
(MST) using either 'base' R, 'scatterplot3d' or 'ggplot2' style.
Imports: Rcpp (>= 0.12.18), scatterplot3d, ggplot2, BBmisc
LinkingTo: Rcpp, RcppMLPACK, RcppArmadillo, BH