Package: CRTSize
Version: 0.2
Date: 2011-02-01
Title: Sample Size Estimation Functions for Cluster Randomized Trials
Author: Michael A Rotondi <mrotondi@uwo.ca>
Maintainer: Michael A Rotondi <mrotondi@uwo.ca>
Depends: R (>= 2.01)
Description: This package contains basic tools for the purpose of
sample size estimation in cluster (group) randomized trials.
The package contains traditional power-based methods, empirical
smoothing (Rotondi and Donner, 2009), and updated meta-analysis
techniques (Rotondi and Donner, 2011).
License: GPL (>= 2)
Packaged: Thu Feb 3 13:32:15 2011; mrotondi
Repository: CRAN
Date/Publication: 2011-02-03 20:43:23

Author: Michael A Rotondi <mrotondi@yorku.ca>
Maintainer: Michael A Rotondi <mrotondi@yorku.ca>
Description: This package contains basic tools for the purpose of sample size estimation in cluster (group) randomized trials.  The package contains traditional power-based methods, empirical smoothing (Rotondi and Donner, 2009), and updated meta-analysis techniques (Rotondi and Donner, 2012).

Description: Sample size estimation in cluster (group) randomized trials.  Contains traditional power-based methods, empirical smoothing (Rotondi and Donner, 2009), and updated meta-analysis techniques (Rotondi and Donner, 2012).

Title: Doubly Robust Inverse Probability Weighted Augmented GEE
Description: Implements a semi-parametric GEE estimator accounting for missing data with Inverse-probability weighting (IPW) and for imbalance in covariates with augmentation (AUG). The estimator IPW-AUG-GEE is Doubly robust (DR).
Depends: Matrix, MASS, ggplot2, grDevices, graphics, stats, methods
Packaged: 2016-01-16 14:41:07 UTC; melanieprague

Package: CRTgeeDR
Title: Doubly Robust Inverse Probability Weighted Augmented GEE
Estimator
Version: 1.2
Authors@R: c(person("Melanie", "Prague", role = c("aut", "cre"),email = "mprague@hsph.harvard.edu"),
person("Paul", "Gilbert", role = "ctb",comment = "Author of R package numDeriv, which has been acknowledged in numDeriv.R"),
person("Ravi", "Varadhan", role = "ctb",comment = "Author of R package numDeriv, which has been acknowledged in numDeriv.R"),
person("Ming", "Wang", role = "ctb", comment = "Author of R package geesmv, which has been acknowledged in getFay.R"),
person("Lee", "McDaniel", role = "ctb", comment = "Author of R package geeM, which has been modified and referenced in multiple R files"),
person("Nick", "Henderson", role = "ctb", comment = "Author of R package geeM, which has been modified and referenced in multiple R files"))
Description: Implements a semi-parametric GEE estimator accounting for missing data with Inverse-probability weighting (IPW) and for imbalance in covariates with augmentation (AUG). The estimator IPW-AUG-GEE is Doubly robust (DR).
License: GPL (>= 2)
Depends: Matrix, MASS, ggplot2, grDevices, graphics, stats, methods
LazyData: true
NeedsCompilation: no
Packaged: 2016-04-06 23:25:49 UTC; melanieprague
Author: Melanie Prague [aut, cre],
Paul Gilbert [ctb] (Author of R package numDeriv, which has been
acknowledged in numDeriv.R),
Ravi Varadhan [ctb] (Author of R package numDeriv, which has been
acknowledged in numDeriv.R),
Ming Wang [ctb] (Author of R package geesmv, which has been
acknowledged in getFay.R),
Lee McDaniel [ctb] (Author of R package geeM, which has been modified
and referenced in multiple R files),
Nick Henderson [ctb] (Author of R package geeM, which has been modified
and referenced in multiple R files)
Maintainer: Melanie Prague <mprague@hsph.harvard.edu>
Repository: CRAN
Date/Publication: 2016-04-07 07:45:10