Sensitivity Analysis for Case Weight in Normal Linear Regression
Ehsan Bahrami Samani and Parisa ParsaMaram
This package presents a general method for assessing the
local influence of minor perturbations of case weight for the
linear regression models.

person(given = "Justin Chun-ting",
family = "Ho",
role = c("aut", "cre"),
email = "Justin.Ho@ed.ac.uk",
comment = c(ORCID = "0000-0002-7884-1059"))
The goal of 'LIHKGr' is to scrape text data from LIHKG (<https://lihkg.com/>), the Hong Kong version of Reddit. LIHKG is currently protected by Google's 'reCAPTCHA', this package currently builds on 'RSelenium' and adopts a semi-manual approach to bypass it.
R6, purrr, tibble (>= 3.0.3), dplyr, RSelenium, raster,
magrittr, rvest, xml2
Justin Chun-ting Ho [aut, cre]
(<https://orcid.org/0000-0002-7884-1059>)

A Poisson Subordinated Distribution to capture major
leptokurtic features in log-return time series of financial
data.
R (>= 2.14.1), sn, moments, BB, Bolstad2, optimx, Rmpfr

sn, moments, BB, Bolstad2, optimx, agsemisc, MASS, Rmpfr

Linear Inverse Model examples and solution methods.
Karline Soetaert <k.soetaert@nioo.knaw.nl>,
Dick van Oevelen<d.vanoevelen@nioo.knaw.nl>
Functions that read and solve linear inverse problems (food web problems, linear programming problems).
These problems find solutions to linear or quadratic functions:
min or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) = sum(ai*xi)
subject to equality constraints Ex=f and inequality constraints Gx>=h. Uses package limSolve.

Karline Soetaert <k.soetaert@nioo.knaw.nl>, Dick van
Oevelen<d.vanoevelen@nioo.knaw.nl>
Functions that read and solve linear inverse problems
(food web problems, linear programming problems). These
problems find solutions to linear or quadratic functions: min
or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) = sum(ai*xi)
subject to equality constraints Ex=f and inequality constraints
Gx>=h. Uses package limSolve.

Karline Soetaert <karline.soetaert@nioz.nl>, Dick van
Oevelen<dick.vanoevelen@nioz.nl>
Functions that read and solve linear inverse problems
(food web problems, linear programming problems).  These
problems find solutions to linear or quadratic functions: min
or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) = sum(ai*xi)
subject to equality constraints Ex=f and inequality constraints
Gx>=h. Uses package limSolve.