Title: Regularized estimation of partial correlation matrices
Author: Nicole Kraemer, Juliane Schaefer
Description: The package estimates the matrix of partial correlations
based on different regularized regression methods: lasso,
adaptive lasso, PLS, and Ridge Regression.
Packaged: Tue Apr 28 22:17:05 2009; kranic

Depends: MASS, glmnet, ppls, Epi, GeneNet

adaptive lasso, PLS, and Ridge Regression. In addition, the
package provides model selection for lasso, adaptive lasso and
Ridge regression based on cross-validation.

Author: Federico Rotolo <federico.rotolo@stat.unipd.it> and Marco Munda
Description: 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
Depends: survival, eha, msm, graphics, boot

Depends: survival, eha, msm, R (>= 2.10)

likelihood method.  Possible baseline hazards: Weibull, inverse
Weibull, exponential, Gompertz, lognormal and loglogistic
Possible Frailty distributions: gamma, inverse Gaussian,

Description: 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.

Description: 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

Authors@R: c(person("Federico", "Rotolo", role = c("aut", "cre"),
person("Andrea", "Callegaro", role = "ctb"))
Possible Frailty distributions: gamma, positive stable, inverse Gaussian and lognormal.

exponential, Weibull, inverse Weibull (Fréchet),
Gompertz, lognormal, log-skew-normal, and loglogistic.
gamma, positive stable, inverse Gaussian and lognormal.

Title: Parallelized functions for palaeoecological and
Description: The package provides a number of easily parallelized
functions from the fossil package. This package is designed to
be used with some type of parallel computing backend, such as