boot, testthat, cmprsk, survival, dplyr, ggplot2, parallel,
rmarkdown

Hmisc, stringr, rms, sandwich, stats, nlme, methods, htmlTable
(>= 2.0.0), magrittr, knitr, Epi, utils, graphics, grDevices
boot, testthat, cmprsk, survival, dplyr, ggplot2, parallel,
rmarkdown, rmeta

Methods for manipulating regression models and for describing these in a style adapted for medical journals.
Contains functions for generating an HTML table with crude and adjusted estimates, plotting hazard ratio, plotting model
estimates and confidence intervals using forest plots, extending this to comparing multiple models in a single forest plots.
In addition to the descriptive methods, there are functions for the robust covariance matrix provided by the 'sandwich'
package, a function for adding non-linearities to a model, and a wrapper around the 'Epi' package's Lexis() functions for
time-splitting a dataset when modeling non-proportional hazards in Cox regressions.
broom, Epi, dplyr, glue, graphics, grDevices, htmlTable (>=
2.0.0), Hmisc, knitr, methods, nlme, purrr, rlang, rms,
sandwich, stats, stringr, tibble, tidyr, tidyselect, utils
boot, testthat, cmprsk, survival, ggplot2, parallel,
rmarkdown, rmeta, tidyverse

c(person(given = "Mrinmoy",
family = "Ray",
role = c("aut", "cre"),
email = "mrinmoy4848@gmail.com"),
person(given = "Rajeev Ranjan",
family = "kumar",
role =  c("aut", "ctb")),
person(given = "K.N.",
family = "Singh",
role =  "ctb"),
person(given = "Ramasubramanian",
family = "V.",
role =  "ctb"),
person(given = "Kanchan",
family = "Sinha",
role = "ctb"))
Testing, Implementation and Forecasting of Grey Model (GM(1, 1)). For method details see Hsu, L. and Wang, C. (2007). <doi:10.1016/j.techfore.2006.02.005>.
Mrinmoy Ray [aut, cre],
Rajeev Ranjan kumar [aut, ctb],
K.N. Singh [ctb],
Ramasubramanian V. [ctb],
Kanchan Sinha [ctb]

c(person("Jahajeeah", "Havisha",
email = "hjahajeeah@utm.ac.mu",
role = c("aut", "cre")))
R (>= 4.0.0), dplyr, Metrics, cmna, plotly
shiny, shinydashboard, shinyWidgets, ggplot2, readxl,
particle.swarm.optimisation, scales, expm