Author: Christoph Burow [aut, cre] (<https://orcid.org/0000-0002-5023-4046>),
person("Christoph", "Burow", role = c("aut", "cre"), email = "christoph.burow@uni-koeln.de", comment = c(ORCID = "0000-0002-5023-4046")),
Imports: Luminescence (>= 0.8.5), shiny (>= 1.1.0), rhandsontable (>=

person("Christoph", "Burow", role = c("aut", "cre"), email = "christoph.burow@gmx.net", comment = c(ORCID = "0000-0002-5023-4046")),
Imports: Luminescence (>= 0.9.17), shiny (>= 1.7.0), rhandsontable (>=

Title: Weighted Rasch Modeling and Extensions using Conditional Maximum
Author: Carlo Cafiero, Mark Nord, Sara Viviani
Description: Rasch model and extensions for survey data, using Conditional Maximum likelihood (CML).
Depends: R (>= 3.0.0), psychotools, Hmisc

Author: Carlo Cafiero, Sara Viviani, Mark Nord
Description: Rasch model and extensions for survey data, using Conditional Maximum likelihood (CML). Carlo Cafiero, Sara Viviani, Mark Nord (2018) <doi:10.1016/j.measurement.2017.10.065>.
Packaged: 2018-04-19 13:56:37 UTC; saraviviani

Title: Revenue Management and Pricing Package
Author: Tudor Bodea <tudor.bodea@ihg.com> & Dev Koushik
Description: RM2 is a simple package that implements functions used in
revenue management and pricing environments.
Packaged: Wed Aug 13 07:58:00 2008; BodeaTu

Description: Estimation the conditional covariance matrix using the RiskMetrics 2006 methodology of Zumbach (2007) <doi:10.2139/ssrn.1420185>.
Packaged: 2018-03-12 16:01:51 UTC; ctruciosm

Description: Estimation of the conditional covariance matrix using the RiskMetrics 2006 methodology of Zumbach (2007) <doi:10.2139/ssrn.1420185>.
Packaged: 2020-11-08 15:26:19 UTC; ctruciosm

Description: Simulate random matrices and ensembles and compute their eigenvalue spectra and dispersions.

Title: RMAWGEN (R Multi-site Auto-regressive Weather GENeretor): a
package to generate daily time series from monthly mean values
Author: Emanuele Cordano, Emanuele Eccel
Depends: R (>= 2.10), chron, date, vars, MASS, strucchange, urca (>=
Description: This package contains S3 functions for spatial multi-site
stochastic generation of daily timeseries of temperature and
precipitation. The implemented tools make use of Vectorial
AutoRegressive models (VARs). The VAR is calibrated by daily
instrumental timeseries given and then works with monthly
timeseries as input. Bugs/comments/questions/collaboration of