distribution (weibull fit) and a linear-logistic model ('linlogit' fit),
dose-response data retrieved from a database accessed via 'RODBC' are included.
As an alternative to the original fitting methods, the algorithms from the 'drc'

Imports: graphics, grDevices, MASS, drc, reshape2, qcc, RODBC
toxicological parameters and plotting the results. Please consider using
fitted are the cumulative density function of the log-normal distribution
('probit' fit), of the logistic distribution ('logit' fit), of the Weibull
distribution ('weibull' fit) and a linear-logistic model ('linlogit' fit),

Authors@R: person("Johannes", "Ranke", email = "jranke@uni-bremen.de",
Imports: graphics, grDevices, MASS, drc, reshape2, qcc, odbc, DBI
dose-response data retrieved from a database accessed via 'odbc' are included.
Author: Johannes Ranke [aut, cre] (<https://orcid.org/0000-0003-4371-6538>)

Title: Doubly Robust Generalized Estimating Equations
Author: Johan Zetterqvist <johan.zetterqvist@ki.se> , Arvid Sjölander <arvid.sjolander@ki.se> with contributions from Alexander Ploner.
Description: The package provides functions to estimate parameters quantifying
an association between an exposure and an outcome in a generalized
estimating equations model in the presence of nuisance variables. Three methods are implemented:
outcome nuisance model based estimation where a model for the association
between the nuisance factors and the outcome is assumed, exposure nuisance model
based estimation where a model for the association between the nuisance factors
and the exposure is assumed and doubly robust estimation where both models are
used. In doubly robust estimation, the estimates will be consistent when
at least one of the models are correctly specified, not necessarily both.

Package: drgee
Type: Package
Title: Doubly Robust Generalized Estimating Equations
Version: 1.1.0
Date: 2015-04-23
Author: Johan Zetterqvist <johan.zetterqvist@ki.se> , Arvid Sjölander <arvid.sjolander@ki.se> with contributions from Alexander Ploner.
Maintainer: Johan Zetterqvist <johan.zetterqvist@ki.se>
Description: Fit restricted mean models for the conditional association
between an exposure and an outcome, given covariates. Three methods
are implemented: O-estimation, where a nuisance model for the
association between the covariates and the outcome is used;
E-estimation where a nuisance model for the association
between the covariates and the exposure is used, and doubly robust (DR)
estimation where both nuisance models are used. In DR-estimation,
the estimates will be consistent when at least one of the nuisance
models is correctly specified, not necessarily both.
Depends: stats, nleqslv, survival, R (>= 3.0.0)
License: GPL-2 | GPL-3
NeedsCompilation: no
Encoding: UTF-8
Packaged: 2015-04-23 12:33:47 UTC; johzet
Repository: CRAN
Date/Publication: 2015-04-23 16:49:18