Author: Mónica Bécue-Bertaut, Ramón Alvarez-Esteban, Josep-Anton Sánchez-Espigares
Description: Provides a set of functions devoted to multivariate exploratory statistics on textual data. Classical methods such as correspondence analysis and agglomerative hierarchical clustering are available. Chronologically constrained agglomerative hierarchical clustering enriched with labelled-by-words trees is offered. Given a division of the corpus into parts, their characteristic words and documents are identified. Further, accessing to 'FactoMineR' functions is very easy. Two of them are relevant in textual domain. MFA() addresses multiple lexical table allowing applications such as dealing with multilingual corpora as well as simultaneously analyzing both open-ended and closed questions in surveys. See <http://www.xplortext.org> for examples.
Imports: ggdendro, graphics, gridExtra, MASS, methods, stringi,
stringr, slam, stats, utils, flexclust, flashClust

Author: Mónica Bécue-Bertaut, Ramón Alvarez-Esteban, Josep-Anton Sánchez-Espigares, Belchin Kostov
Depends: R (>= 3.6.0), FactoMineR, ggplot2, tm(>= 0.7-3)

Description: Provides a set of functions devoted to multivariate exploratory statistics on textual data. Classical methods such as correspondence analysis and agglomerative hierarchical clustering are available. Chronologically constrained agglomerative hierarchical clustering enriched with labelled-by-words trees is offered. Given a division of the corpus into parts, their characteristic words and documents are identified. Further, accessing to 'FactoMineR' functions is very easy. Two of them are relevant in textual domain. MFA() addresses multiple lexical table allowing applications such as dealing with multilingual corpora as well as simultaneously analyzing both open-ended and closed questions in surveys. See <http://xplortext.unileon.es> for examples.
graphics, gridExtra(>= 2.3), MASS(>= 7.3-53), methods,
utils, flexclust(>= 1.4-0), flashClust(>= 1.01-2)

Title: Yang and Prentice Model with Baseline Distribution Modeled by
Authors@R: person(given = "Fabio", family = "Demarqui", email = "fndemarqui@est.ufmg.br", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9236-1986"))
Description: Semiparametric modeling of lifetime data with crossing survival curves via Yang and Prentice model with baseline hazard/odds modeled with Bernstein polynomials. Details about the model can be found in Demarqui et al. (2019) <arXiv:1910.04475>. Model fitting can be carried out via both maximum likelihood and Bayesian approaches. The package also provides point and interval estimation for the crossing survival times.
Imports: Formula, MASS, methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1),
Packaged: 2020-06-26 15:33:48 UTC; fndemarqui
Author: Fabio Demarqui [aut, cre] (<https://orcid.org/0000-0001-9236-1986>)