Title: Estimation and Inference for High Dimensional Mediation and
person("Ruixuan", "Zhou", role = c("aut", "cph")),
person("Dave", "Zhao", email = "rzhou14@illinois.edu",
person("Layla", "Parast", email = "parast@austin.utexas.edu",
Description: Estimates and provides inference for quantities that assess high dimensional mediation and potential surrogate markers including the direct effect of treatment, indirect effect of treatment, and the proportion of treatment effect explained by a surrogate/mediator; details are described in Zhou et al (2022) <doi:10.1002/sim.9352> and Zhou et al (2020)
<doi:10.1093/biomet/asaa016>. This package relies on the optimization software 'MOSEK',
Depends: R (>= 3.5.0), scalreg, Rmosek, Matrix

Title: Demonstration of Disease Freedom (DDF)
Authors@R: person("Thomas", "Rosendal", role = c("aut", "cre"),
Description: Implements the formulae required to calculate freedom
from disease according to Cameron and Baldock (1998)
methods used at the Swedish national veterinary institute (SVA) to
evaluate the performance of our nation animal disease
Packaged: 2020-09-05 18:41:36 UTC; trosendal
Author: Thomas Rosendal [aut, cre] (<https://orcid.org/0000-0002-6576-9668>)

Packaged: 2020-08-28 12:46:20 UTC; trosendal

Description: Provides functionality for manipulating elements of the free group (juxtaposition is represented by a plus) including inversion, multiplication by a scalar, group-theoretic power operation, and Tietze forms.  The package is fully vectorized.

Depends: magrittr,methods,magic (>= 1.5-9), plyr

Authors@R: c(person(c("Robin", "K. S. "), "Hankin",
Description: The free group in R; juxtaposition is represented by a plus.  Includes inversion, multiplication by a scalar, group-theoretic power operation, and Tietze forms.

Title: Algorithms for Implementing Free-Knot Splines
Author: Steven Spiriti <puzzlesteven@gmail.com>, Philip Smith <philip.smith@ttu.edu>, Pierre Lecuyer <lecuyer@iro.UMontreal.ca>,
Description: Algorithms for fitting free-knot splines for data with one independent variable and one dependent variable.  Four free-knot spline algorithms are provided for the case where the number of knots is known in advance.  A knot-search algorithm is provided for the case where the number of knots is not known in advance.  In addition, methods are available to compute the fitted values, the residuals, and the coefficients of the splines, and to plot the results, along with a method to summarize the results.