DESCRIPTION

Type: Package
Package: trendfiltering
Title: The state-of-the-art method for denoising 1D signals
Version: 0.3.3
Authors@R: 
    person(given = "Collin A.", 
           family = "Politsch", 
           email = "collinpolitsch@gmail.com",
           role = c("aut", "cre"), 
           comment = c(ORCID = "0000-0003-3727-9167")
           )
Description: A suite of tools for denoising and analyzing one-dimensional
    signals with trend filtering. Trend filtering constructs a piecewise
    polynomial estimate for the signal with knots chosen adaptively from the
    observed data. Hyperpameter(s) can be optimized by cross validation (with
    any loss function) or by minimizing Stein's unbiased risk estimate. Methods
    are also included for trend filtering uncertainty quantification and a 
    generalized 'relaxed trend filtering' estimator.
License: MIT + file LICENSE
URL: https://capolitsch.github.io/trendfiltering
BugReports: https://github.com/capolitsch/trendfiltering/issues
Depends: 
    R (>= 3.5.0)
Remotes:
    capolitsch/glmgen/R_pkg/glmgen
Imports: 
    stats (>= 4.2.1),
    matrixStats (>= 0.63.0),
    glmgen (>= 0.0.3),
    dplyr (>= 1.0.10),
    tidyr (>= 1.2.1),
    magrittr (>= 2.0.3),
    rlang (>= 1.0.6),
    mathjaxr (>= 1.6-0)
RdMacros: 
    mathjaxr
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.2