Description: A collection of hypothesis tests based on the likelihood ratio

Description: A collection of hypothesis tests and confidence intervals based on the likelihood ratio

Suggests: covr, EnvStats, testthat, lmtest, knitr, rmarkdown

Title: Likelihood Ratio Tests and Confidence Intervals

Title: Dose Response Signal Detection under Model Uncertainty
Description: Provides functions for calculating test statistics, simulating quantiles
and simulating p-values of likelihood ratio contrast tests in regression models

Title: Locally stationary two-dimensional wavelet process estimation
Author: Idris Eckley <i.eckley@lancaster.ac.uk>, Guy Nason
Depends: R (>= 2.0), wavethresh (>= 4.5)
Description: Estimates two-dimensional local wavelet specta

Depends: R (>= 2.10), wavethresh (>= 4.5)

Author: Idris Eckley and Guy Nason, with contributions from Sarah
Depends: R (>= 2.12), wavethresh (>= 4.5)
Description: Estimates two-dimensional local wavelet spectra

Author: Idris Eckley and Guy Nason, with contributions from Sarah Taylor and Matthew Nunes
Depends: R (>= 3.0), wavethresh (>= 4.5)

Title: Locally Stationary Two-Dimensional Wavelet Process Estimation
Description: Estimates two-dimensional local wavelet spectra.

Title: A Multiscale Test of Spatial Stationarity for LS2W processes
Authors@R: c(person("Sarah", "Taylor", role="aut"), person("Matt",
Depends: LS2W(>= 1.3-1), matrixStats, geoR, RandomFields, spdep
Description: Wavelet-based methods for testing stationarity and quadtree segmenting of images
Author: Sarah Taylor [aut], Matt Nunes [aut, cre]

Author: Sarah Taylor [aut], Matt Nunes [aut, cre], Idris Eckley [ctb, ths]

Title: A Multiscale Test of Spatial Stationarity for LS2W Processes
Description: Wavelet-based methods for testing stationarity and quadtree segmenting of images, see Taylor et al (2014) <doi:10.1080/00401706.2013.823890>.

Depends: LS2W(>= 1.3-1), matrixStats, RandomFields, spdep

Description: Wavelet-based methods for testing stationarity and quadtree segmenting of images.

Title: Applied Latent Semantic Analysis (LSA) functions
Description: This package provides functions that allow for convenient working
with Latent Semantic Analysis. For actually building an LSA space, use the
Authors@R: c(person("Fritz Guenther", role = c("aut","cre"),