knitr, rmarkdown, minidown, docopt, rcmdcheck, foghorn

Liu Regression with Liu Biasing Parameters and Statistics
Linear Liu regression coefficient's estimation and testing with
different Liu related measures such as MSE, R-squared etc.
Department of Statistics, Bahauddin Zakariya University, Multan,
Pakistan.

Linear Liu regression coefficient's estimation and testing with different Liu related measures such as MSE, R-squared etc.

c(person(given = c("Imdad", "Ullah"), family = "Muhammad", role = c("aut", "cre"), email = "mimdadasad@gmail.com",
comment = c(ORCID = "0000-0002-1315-491X")),
person(given = "Aslam", family = "Muhammad", role = c("aut", "ctb"), email = "aslamasadi@bzu.edu.pk"))
Linear Liu regression coefficient's estimation and testing with different Liu related measures such as MSE, R-squared etc.
REFERENCES
i.   Akdeniz and Kaciranlar (1995) <doi:10.1080/03610929508831585>
ii.  Druilhet and Mom (2008) <doi:10.1016/j.jmva.2006.06.011>
iii. Imdadullah, Aslam, and Saima (2017)
iv.  Liu (1993) <doi:10.1080/03610929308831027>
v.   Liu (2001) <doi:10.1016/j.jspi.2010.05.030>.
Imdad Ullah Muhammad [aut, cre]
(<https://orcid.org/0000-0002-1315-491X>),
Aslam Muhammad [aut, ctb]

Local Interpretable (Model-Agnostic) Visual Explanations
c(
person("Mateusz", "Staniak", role = c("cre","aut"),
email = "mateusz.staniak@math.uni.wroc.pl"),
person("Przemysław", "Biecek", role = "aut",
email = "przemyslaw.biecek@gmail.com")
)
Interpretability of complex machine learning models is a growing concern.
This package helps to understand key factors that drive the
decision made by complicated predictive model (so called black box model).
This is achieved through local approximations that are either based on
additive regression like model or CART like model that allows for
higher interactions. The methodology is based on Tulio Ribeiro, Singh, Guestrin (2016) <doi:10.1145/2939672.2939778>.
knitr, rmarkdown, testthat, glmnet, e1071
mlr, dplyr, breakDown, data.table, forestmodel, lubridate,
ggplot2
Mateusz Staniak [cre, aut],
Przemysław Biecek [aut]