Title: Quantitative chemical analysis: calibration and evaluation of
Description: Statistical evaluation of calibration curves by different
regression techniques: ordinary, weighted, robust (up to 4th
order polynomial).  Log-log and Box-Cox transform, estimation
of optimal power and weighting scheme. Tests for
heteroscedascity and normality of residuals. Different kinds of
plots commonly used in illustrating calibrations. Easy "inverse
prediction" of concentration by given responses and statistical
evaluation of results (comparison of precision and accuracy by
Packaged: Tue Apr 10 22:58:00 2007; Lukke

Packaged: 2012-08-20 14:05:32 UTC; Administrator

Authors@R: c(person("Julian", "Chitiva",email="julian.chitiva@quantil.com.co", role =c("aut","cre")),person("Diego", "Jara", role = "aut"), person("Erick", "Translateur", role = c("com")),person("Quantil S.A.S", role = c("aut","cph")))
Description: Functions to manipulate dates and count days for quantitative finance analysis. The 'quantdates' package considers leap, holidays and business days for relevant calendars in a financial context to simplify quantitative finance calculations, consistent with International Swaps and Derivatives Association (ISDA) (2006) <https://www.isda.org/book/2006-isda-definitions/> regulations.
Packaged: 2020-06-05 23:05:34 UTC; julianchitiva

Title: Dimension Reduction Techniques for Conditional Quantiles
Description: An implementation of dimension reduction techniques
for conditional quantiles. Nonparametric estimation of
conditional quantiles is also available.
Imports: dr, KernSmooth, MTS, mvtnorm, quantreg
Collate: 'bic_d.R' 'llqrcv.R' 'llqr.R' 'cqs.R'
Suggests: knitr, rmarkdown, testthat, pracma, MASS
Author: Eliana Christou [aut, cre] (<https://orcid.org/0000-0001-5044-0969>)

Suggests: ggplot2, knitr, rmarkdown, testthat, pracma, MASS

Collate: 'ValAR.R' 'bic_d.R' 'llqrcv.R' 'llqr.R' 'cqs.R'
Suggests: ggplot2, knitr, rmarkdown, testthat, pracma, MASS,

Imports: dr, KernSmooth, mvtnorm, quantreg

Title: Quantitative Analysis of Textual Data
Authors@R: c( person("Kenneth", "Benoit", email = "kbenoit@lse.ac.uk", role =
c("aut", "cre")), person("Paul", "Nulty", email = "paul.nulty@gmail.com",
role = "aut"), person("Pablo", "Barberá", email = "pablo.barbera@nyu.edu",
role = "ctb"), person("Kohei", "Watanabe", email =
"watanabe.kohei@gmail.com", role = "ctb"), person("Benjamin", "Lauderdale",
email = "B.E.lauderdale@lse.ac.uk", role = "ctb"))
Description: A fast, flexible toolset for for the management, processing, and
quantitative analysis of textual data in R.
Imports: methods, Matrix (>= 1.1), data.table (>= 1.9.3), SnowballC,
Suggests: knitr, lda, topicmodels, jsonlite (>= 0.9.10), streamR, tm
'dfm-main.R' 'distance.R' 'gui.R' 'kwic.R' 'lexdiv.R'