Title: Reduction algorithm for the NPMLE for the distribution function of
Description: The main function is HMA, the HeightMapAlgorithm. This algorithm
is based on the idea of an 'height map', and is described in the following paper:
"Reduction algorithm for the NPMLE for the distribution function of
bivariate interval-censored data", by Marloes Maathuis, Journal of Computational
and Graphical Statistics, Volume 14, Number 2 (to appear).

Title: Efficient Estimation of Bid-Ask Spreads from Open, High, Low,
person(given = "David", family = "Ardia", role = c("ctb"), comment = c(ORCID = "0000-0003-2823-782X")),
person(given = "Tim", family = "Kroencke", role = c("ctb"), comment = c(ORCID = "0000-0001-8700-356X"))
Description: Implements a novel estimation procedure of bid-ask spreads from open, high, low, and close prices
as described in Ardia-Guidotti-Kroencke <https://www.ssrn.com/abstract=3892335>.
Moreover, it provides an implementation of the estimators proposed in

Description: Implements an efficient estimation procedure of bid-ask spreads from open, high, low, and close prices

Packaged: 2022-05-10 20:28:52 UTC; eguidotti

Title: Inferences for bi- and trifactorial trial designs
Description: This package makes global and multiple inferences for given bi- and trifactorial clinical trial designs using bootstrap methods and a classical approach.

Packaged: Sat Dec  8 12:00:12 2007; hornik

Description: This package makes global and multiple inferences for
given bi- and trifactorial clinical trial designs using
bootstrap methods and a classical approach.

Title: Binary Choice Models with Fixed Effects
person("Daniel", "Czarnowske", email = "d.czarnowske@gmx.de", role = "aut"),
person("Florian", "Heiss", email = "florian.heiss@hhu.de", role = "aut"),
person("Daniel", "McFadden", email = "mcfadden@econ.berkeley.edu", role = "ctb"))
Description: Estimates fixed effects binary choice models (logit and probit) with potentially many individual fixed effects and computes average partial effects. Incidental parameter bias can be reduced with a bias-correction proposed by Hahn and Newey (2004) <doi:10.1111/j.1468-0262.2004.00533.x>.
Imports: Rcpp (>= 0.12.5), Formula, stats
Suggests: knitr, rmarkdown, survival, ggplot2