person("Claudio", "Paladini", , "claudio.paladini@bath.edu", role = c("aut", "cre"),
Imports: anytime, dplyr , ggplot2, gtrendsR, lubridate , magrittr ,
methods , openxlsx , plotly , purrr , RColorBrewer , readr ,
readxl , reshape2 , sjmisc , stringr , tibble , tidyr ,

Imports: car, dplyr, ggplot2, gtrendsR, lubridate , magrittr , methods
, openxlsx , plotly , purrr , RColorBrewer , readr , readxl ,
reshape2 , sjmisc , stringr , tibble , tidyr , tidyverse , tis

Title: Manipulate Formulas and Evaluate Marginal Effects
Description: Provides tools to manipulate formulas, such as getting x, y or contrasts from the model/formula, and functions to evaluate and check the marginal effects of a linear model.
Imports: ggplot2, plyr, pryr, stringr, stats, utils, magrittr, scales
Packaged: 2016-05-22 02:43:08 UTC; yangguodaxia

Packaged: 2016-07-06 07:08:45 UTC; yangguodaxia

Authors@R: c(person("Jared", "Studyvin", role = c("aut", "cre"),
Description: Functions to access and test results from a linear model.
Packaged: 2022-01-03 17:13:51 UTC; jaredstudyvin

Title: Methods of Linear Ordering of Data
Authors@R: person("Antoni", "Baum", email = "antoni.baum@protonmail.com",
Description: Provides various methods of linear ordering of data. Supports weights and positive/negative impacts.
* Hellwig's (Hellwig, 1968, <https://unesdoc.unesco.org/ark:/48223/pf0000158559.locale=en>)

Title: Linear Algorithm for Simulating Quantiles in Multiscale
Author: Chengcheng Huang [aut,cre], Housen Li[aut]
Description: It is a linear algorithm to simulate quantiles of multiscale statistics
under hull hypothesis for multiscale change-point segmentation.
Packaged: 2018-03-01 11:23:29 UTC; huangchengcheng

Packaged: 2019-03-13 12:19:38 UTC; huangchengcheng

Authors@R: person("Federico", "Garza", , "fede.garza.ramirez@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7015-8186"))
Description: Tests whether the linear hypothesis of a model
is correct specified using Dominguez-Lobato test. Also Ramsey's RESET (Regression Equation
Specification Error Test) test is implemented and Wald tests can be carried out.
test the linear hypothesis of a model, Dominguez and Lobato (2019) proposed a novel
approach that generalizes well known specification tests such as Ramsey's. This test
relies on wild-bootstrap; this package implements this approach to be
usable with any function that fits linear models and is compatible with
the update() function such as 'stats'::lm(), 'lfe'::felm() and 'forecast'::Arima(),
Also the package can handle custom statistics such as Cramer von Mises and Kolmogorov
Smirnov, described by the authors, and custom distributions such as Mammen (discrete
Imports: Matrix, sandwich, dplyr, ggplot2, viridis, tidyr, readr,
Packaged: 2020-06-08 01:30:01 UTC; federicogarza2
Author: Federico Garza [aut, cre] (<https://orcid.org/0000-0001-7015-8186>)