Title: Software for moving grid adjustment in plant breeding field
Description: Package for moving grid adjustment in plant breeding field

Description: Package for  moving grid adjustment

Title: Moving Grid Adjustment in Plant Breeding Field Trials

Title: Simultaneously Impute the Missing and Censored Values
Description: Implementing a multiple imputation algorithm for multivariate data with missing and censored values under a coarsening at random assumption (Heitjan and Rubin, 1991<doi:10.1214/aos/1176348396>). The multiple imputation algorithm is based on the data augmentation algorithm proposed by Tanner and Wong (1987)<doi:10.1080/01621459.1987.10478458>. The Gibbs sampling algorithm is adopted to to update the model parameters and draw imputations of the coarse data.
Imports: ggplot2, reshape2, LaplacesDemon, rlang, Rcpp, MASS, truncnorm
Suggests: knitr, rmarkdown, mice, clusterGeneration

Title: ML estimation for multivariate normal data with missing values.
Author: Kevin Gross, with help from Douglas Bates
Description: Finds the maximum likelihood estimate of the mean vector
and variance-covariance matrix for multivariate normal data

Title: ML Estimation for Multivariate Normal Data with Missing Values
respond to requests for an update for R >= 2.14.0

Author: Kevin Gross <gross@stat.wisc.edu>, with help from Douglas Bates
and variance-covariance matrix for multivariate normal data with

Title: ML estimation for multivariate normal data with missing values

Packaged: Fri Apr 29 16:08:08 2005; hornik

Packaged: Mon Nov 28 15:26:31 2005; krgross

Packaged: Thu Mar 27 09:48:15 2008; krgross

Title: Powerful Tests for Multivariate Normality
person("Yian", "Zhang", email = "yz2777@nyu.edu", role = c("aut","cre")),
person("Ming", "Zhou", email = "zhouming1027@gmail.com", role = "aut"),
person("Yongzhao", "Shao", email = "yongzhao.shao@nyulangone.org", role = "aut"))
Description: A simple informative powerful test (mvnTest()) for multivariate normality proposed by
with Shapiro-Wilk test that is easy for biomedical researchers to understand and
easy to implement in all dimensions. This package also contains some other multivariate
normality tests including Fattorini's FA test (faTest()), Mardia's skewness and kurtosis
test (mardia()), Henze-Zirkler's test (mhz()), Bowman and Shenton's test (msk()),
Royston’s H test (msw()), and Villasenor-Alva and Gonzalez-Estrada's test (msw()). Empirical
power calculation functions for these tests are also provided. In addition, this package
includes some functions to generate several types of multivariate distributions mentioned in
Imports: stats, nortest, moments, copula