c(
person("Akiru", "Kato", , "paithiov909@gmail.com", role = c("cre", "aut")),
person("Koki", "Takahashi", role = "cph",
comment = "Author of japanese.js"),
person("Shuhei", "Iitsuka", role = "cph",
comment = "Author of budoux"),
person("Taku", "Kudo", role = "cph",
comment = "Author of TinySegmenter")
)
Akiru Kato [cre, aut],
Koki Takahashi [cph] (Author of japanese.js),
Shuhei Iitsuka [cph] (Author of budoux),
Taku Kudo [cph] (Author of TinySegmenter)

dplyr, magrittr, memoise, purrr, readr, rlang (>= 0.4.11),
stringi, tidyselect, V8

Analysis of Data with Mixed Measurement Error and
Misclassification in Covariates
Qihuang Zhang <qihuang.zhang@uwaterloo.ca>, Grace Y. Yi <yyi@uwaterloo.ca>
Implementation of the augmented
Simulation-Extrapolation (SIMEX) algorithm proposed by Yi et al. (2015) <doi:10.1080/01621459.2014.922777>
for analyzing the data with mixed measurement error and misclassification. The main
function provides a similar summary output as that of glm() function. Both parametric and
empirical SIMEX are considered in the package.
Rcpp (>= 0.12.11), MASS, rootSolve, stats, graphics

Rcpp (>= 0.12.11), MASS, rootSolve, stats, graphics, Formula

Rcpp (>= 0.12.11), MASS, rootSolve, stats, graphics, Formula,
nleqslv

Rcpp (>= 0.12.11), MASS, stats, graphics, Formula, nleqslv

Analysis of Augmented Randomised Complete Block Designs
c(
person(c("J.", "Aravind"),
email = "j.aravind@icar.gov.in",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-4791-442X")),
person(c("Mukesh", "Sankar", "S."),
email = "mukeshsankar@gmail.com",
role = c("aut")),
person(c("Dhammaprakash", "Pandhari", "Wankhede"),
email = "d.wankhede@icar.gov.in",
role = c("aut")),
person(c("Vikender", "Kaur"),
email = "vikender.kaur@icar.gov.in",
role = c("aut")),
person("ICAR-NBGPR",
role = c("cph")))
Functions for analysis of data generated from experiments in
augmented randomised complete block design according to Federer, W.T. (1961)
<doi:10.2307/2527837>. Computes analysis of variance, adjusted means,
descriptive statistics, genetic variability statistics etc. Further includes
data visualization and report generation functions.
emmeans, dplyr, flextable, ggplot2, grDevices, methods,
moments, multcomp, multcompView, Rdpack, stats, stringi,
officer, reshape2, utils
J. Aravind [aut, cre] (<https://orcid.org/0000-0002-4791-442X>),
Mukesh Sankar S. [aut],
Dhammaprakash Pandhari Wankhede [aut],
Vikender Kaur [aut],
ICAR-NBGPR [cph]