Regularized estimation of partial correlation matrices
The package estimates the matrix of partial correlations
based on different regularized regression methods: lasso,
adaptive lasso, PLS, and Ridge Regression.

The package estimates the matrix of partial correlations
based on different regularized regression methods: lasso,
adaptive lasso, PLS, and Ridge Regression. In addition, the
package provides model selection for lasso, adaptive lasso and
Ridge regression based on cross-validation.

Federico Rotolo <federico.rotolo@stat.unipd.it> and Marco Munda
<marco.munda@uclouvain.be>
Parametric Frailty Models, fitted by maximum marginal
likelihood method.  Possible baseline hazards: Weibull,
Exponential, Gompertz, logNormal and loglogistic Possible
Frailty distributions: Gamma, Inverse Gaussian and Positive
Stable

Parametric Frailty Models, fitted by maximum marginal
likelihood method.  Possible baseline hazards: Weibull, inverse
Weibull, exponential, Gompertz, lognormal and loglogistic
Possible Frailty distributions: gamma, inverse Gaussian,
positive stable and lognormal

Federico Rotolo <federico.rotolo@gustaveroussy.fr>
and Marco Munda <marco.munda@arlenda.com>
Fits Parametric Frailty Models by maximum marginal likelihood.
Possible baseline hazards: Weibull, inverse Weibull, exponential, Gompertz, lognormal and loglogistic.
Possible Frailty distributions: gamma, inverse Gaussian, positive stable and lognormal.

Federico Rotolo <federico.rotolo@gustaveroussy.fr>
and Marco Munda <marco.munda@uclouvain.be>
Parametric Frailty Models, fitted by maximum marginal likelihood method.
Possible baseline hazards: Weibull, inverse Weibull, exponential, Gompertz, lognormal and loglogistic
Possible Frailty distributions: gamma, inverse Gaussian, positive stable and lognormal

Federico Rotolo <federico.rotolo@gustaveroussy.fr>
and Marco Munda <marco.munda@uclarlenda.com>

c(person("Federico", "Rotolo", role = c("aut", "cre"),
email = "federico.rotolo@gustaveroussy.fr"),
person("Marco", "Munda", role = "aut",
email = "marco.munda@arlenda.com"),
person("Andrea", "Callegaro", role = "ctb"))
Fits Parametric Frailty Models by maximum marginal likelihood.
Possible baseline hazards: Weibull, inverse Weibull, exponential, Gompertz, lognormal and loglogistic.
Possible Frailty distributions: gamma, positive stable, inverse Gaussian and lognormal.
Federico Rotolo [aut, cre],
Marco Munda [aut],
Andrea Callegaro [ctb]