Title: Approximate conditional inference for logistic and loglinear
Author: S original by Alessandra R. Brazzale
<alessandra.brazzale@unimore.it>. R port by Alessandra R.
Maintainer: Alessandra R. Brazzale <alessandra.brazzale@unimore.it>
Depends: R (>= 2.6.0), statmod, survival
Description: Higher order likelihood-based inference for logistic and

Author: S original by Alessandra R. Brazzale <alessandra.brazzale@unipd.it>.
R port by Alessandra R. Brazzale <alessandra.brazzale@unipd.it>, following
Maintainer: Alessandra R. Brazzale <alessandra.brazzale@unipd.it>
Depends: R (>= 2.14.0), statmod, survival

Depends: R (>= 3.0.0), statmod, survival

Title: Approximate Conditional Inference for Logistic and Loglinear

Title: Parameter estimation in conditional GEE for recurrent event gap
Depends: R (>= 2.01), numDeriv, rootSolve
Description: Solves for the mean parameters, the variance parameter,
and their asymptotic variance in a conditional GEE for
recurrent event gap times, as described by Clement and
Strawderman (2009) in the journal Biostatistics. Makes a
parametric assumption for the length of the censored gap time.
Packaged: Sun Sep 6 09:53:43 2009; dyc24

Description: Solves for the mean parameters, the variance parameter, and their asymptotic variance in a conditional GEE for recurrent event gap times, as described by Clement and Strawderman (2009) in the journal Biostatistics. Makes a parametric assumption for the length of the censored gap time.

Title: Parameter Estimation in Conditional GEE for Recurrent Event Gap
Suggests: testthat, withr, knitr, rmarkdown

Title: Conditional Multivariate Normal Distribution
Authors@R: c(person("Ravi", "Varadhan", role = c("aut", "cre"),
Description: Computes conditional multivariate normal probabilities, random deviates and densities.

Description: Computes conditional multivariate normal densities, probabilities, and random deviates.
Packaged: 2020-03-18 15:17:49 UTC; rvaradhan

Title: Estimation of the Conditional Survival Function for Ordered
Author: Luis Meira-Machado and Marta Sestelo
Description: Method to implement some newly developed methods for the
estimation of the conditional survival function.
Imports: KernSmooth, doParallel, parallel, doRNG, foreach