Imports: numDeriv, compiler, splines, Rcpp (>= 0.9.2), RcppArmadillo
Suggests: lava.tobit (>= 0.4-7), prodlim, testthat, ucminf

bivariate random effects probit models (Liability models). Also contains
two-stage binomial modelling that can do pairwise odds-ratio dependence
modelling based marginal logistic regression models. This is an alternative
to the alternating logistic regression approach (ALR).
Imports: numDeriv, compiler, Rcpp, splines

Imports: numDeriv, compiler, Rcpp, splines, survival

Suggests: lava.tobit (>= 0.4-7), prodlim, testthat (>= 0.11), ucminf

Suggests: lava.tobit (>= 0.4-7), prodlim, testthat (>= 0.11), ucminf,

event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate
cumulative incidence models <doi:10.1002/sim.6016>, and  bivariate random
effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>.
Also contains two-stage binomial modelling that can do pairwise odds-ratio
dependence modelling based marginal logistic regression models. This is an
alternative to the alternating logistic regression approach (ALR).

Imports: numDeriv, compiler, Rcpp, splines, survival (>= 2.43-1),
Suggests: prodlim, testthat (>= 0.11), ucminf, R.rsp (>= 0.40)

Imports: mvtnorm (>= 1.0-11), numDeriv, compiler, Rcpp, splines,

Imports: mvtnorm, numDeriv, compiler, Rcpp, splines, survival (>=

Suggests: prodlim, cmprsk, testthat (>= 0.11), ucminf, knitr, bookdown,

Suggests: prodlim, testthat (>= 0.11), ucminf, knitr, bookdown,

Suggests: optimx, prodlim, cmprsk, testthat (>= 0.11), ucminf, knitr,

Packaged: 2022-10-01 11:37:55 UTC; Klaus.Holst

Title: Interface with the Meteo France Synop Data API
Description: Provides an interface with the Meteo France Synop data API
The Meteo France Synop data are made of meteorological data recorded
every three hours on 62 French meteorological stations.
Imports: foreach, readr, stringr, tibble, utils

Title: Multivariate Extreme Value Distributions
Authors@R: c(person(given="Leo", family="Belzile", role = c("aut", "cre"), email = "leo.belzile@epfl.ch"), person(given="Jennifer L.", family="Wadsworth", role=c("aut")), person(given="Paul J.", family="Northrop", role=c("aut")), person(given="Scott D.", family="Grimshaw", role=c("aut")), person(given="Jin.", family="Zhang", role=c("ctb")), person(given="Michael A.", family="Stephens", role=c("ctb")), person(given="Art B.", family="Owen", role=c("ctb")), person(given="Anthony C.", family="Davison", role=c("ctb")), person(given="Raphael", family="Huser", role=c("aut")))
Description: Exact simulation from max-stable processes and multivariate extreme value distributions for various parametric models. Threshold selection methods.
Imports: boot, evd, gmm, ismev, methods, nleqslv, numDeriv, Rcpp (>=