Title: Response Transformations for Random Effect and Variance
Author: Amani Almohaimeed and Jochen Einbeck
Imports: statmod(>= 1.4.20), qicharts(>= 0.5.4)
Description: Response transformations for overdispersed generalized linear
models and variance component models using nonparametric profile maximum
likelihood estimation. The main function is optim.boxcox().
Packaged: 2017-07-29 16:10:40 UTC; amanialmohaimeed

Packaged: 2017-10-09 19:14:08 UTC; amanialmohaimeed

Packaged: 2017-12-21 14:23:32 UTC; amanialmohaimeed

Title: Box-Cox-Type Transformations for Linear and Logistic Models with
Description: Box-Cox-type transformations for linear and logistic models
with random effects using non-parametric profile maximum
likelihood estimation. The main functions are optim.boxcox()
Packaged: 2018-06-05 17:40:46 UTC; amanialmohaimeed

Packaged: 2018-09-25 15:01:49 UTC; amanialmohaimeed

likelihood estimation. The main functions are optim.boxcox() for
linear models with random effects and boxcoxtype() for logistic models
Packaged: 2020-09-17 06:44:25 UTC; amanialmohaimeed

person(given="Thomas", family="Ruf", email= "Thomas.P.Ruf@me.com", role = c("aut", "cre"),
Description: Noise filter based on determining the proportion of neighboring points. A false point will be rejected if it has only few neighbors, but accepted if the proportion of neighbors in a rectangular frame is high. The size of the rectangular frame as well as the cut-off value, i.e. of a minimum proportion of neighbor-points, may be supplied or can be calculated automatically. Originally designed for the cleaning of heart rates, but suitable for filtering any slowly-changing physiological variable.For more information see Signer (2010)<doi: 10.1111/j.2041-210X.2009.00010.x>.
Author: Thomas Ruf [aut, cre] (<https://orcid.org/0000-0002-9235-7079>)

Title: Downloads Box Office Information for Given Dates (How Much Each
Authors@R: person("Jacob", "Kaplan", email = "jacobkap@sas.upenn.edu", role = c("aut", "cre"))
Description: Download daily box office information (how much each movie earned
in theaters) using data from either Box Office Mojo (<http://www.boxofficemojo.com/>) or
Depends: rvest, foreach, lubridate, xml2