| Here are various open source R packages developed from members of the van der Laan research group. |
| More help on R can be found at: R project |
| If you would like to receive email updates about new releases of the DSA please email: romain [at] berkeley.edu or bullard [at] berkeley.edu to subscribe to the mailing list. |
Data-Adaptive Estimation with Cross-Validation and the D/S/A Algorithm
The DSA performs data-adaptive estimation through estimator selection
based on cross-validation and the L2 loss function. Candidate
estimators are defined with polynomial generalized linear models
generated with the Deletion/Substitution/Addition (D/S/A) algorithm
under user-specified constraints.
| download | platform | release date | status | maintainer | release notes |
| DSA_3.1.3.tar.gz | unix/src | 09/01/2008 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_3.1.3.zip | windows binary | 09/01/2008 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_3.1.2.tar.gz | unix/src | 08/09/2008 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_3.1.2.zip | windows binary | 08/09/2008 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_3.1.1.tar.gz | unix/src | 08/20/2007 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_3.1.1.zip | windows binary | 08/20/2007 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_3.1.tar.gz | unix/src | 08/20/2007 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_3.1.zip | windows binary | 08/20/2007 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_3.0.2.tar.gz | unix/src | 07/06/2007 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_3.0.2.zip | windows binary | 07/06/2007 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_3.0.1.tar.gz | unix/src | 07/06/2007 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_3.0.1.zip | windows binary | 07/06/2007 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_3.0.tar.gz | unix/src | 06/21/2007 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_3.0.zip | windows binary | 06/21/2007 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_2.2.2.tar.gz | unix/src | 01/08/2007 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_2.2.2.zip | windows binary | 01/08/2007 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_2.2.1.tar.gz | unix/src | 12/05/2006 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_2.2.1.zip | windows binary | 12/05/2006 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_2.1.4.tar.gz | unix/src | 10/10/2006 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_2.1.4.zip | windows binary | 10/10/2006 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_2.1.3.tar.gz | unix/src | 9/25/2006 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_2.1.3.zip | windows binary | 9/25/2006 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_2.1.2.tar.gz | unix/src | 9/12/2006 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_2.1.2.zip | windows binary | 9/12/2006 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_2.0.2.tar.gz | unix/src | 7/25/2006 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_2.0.2.zip | windows binary | 7/25/2006 | stable | romain,bullard [at] stat.berkeley.edu | Release Notes |
| DSA_1.1.tar.gz | unix/src | 3/31/2006 | stable | romain,bullard [at] stat.berkeley.edu | |
| DSA_1.1.zip | windows binary | 3/31/2006 | stable | romain,bullard [at] stat.berkeley.edu | |
| DSA_1.0.tar.gz | unix/src | 2/6/2006 | obsolete | romain,bullard [at] stat.berkeley.edu | |
| DSA_1.0.zip | windows binary | 2/6/2006 | obsolete | romain,bullard [at] stat.berkeley.edu |
MSM-Based Causal Inference with Point Treatment Data
The cvDSA package groups several routines for causal inference with
point treatment data based on Marginal Structural Models (MSM). The
routines are entirely written in R and can be used for MSM estimation
with the Inverse Probability of Treatment Weighted, G-computation and
Double Robust estimators (data-adaptive estimation with
cross-validation and the D/S/A algorithm, check of the Experimental
Treatment Assignment (ETA) assumption, etc). A GUI interface is
available for easy use of the routines along with complete
documentation (library(help=cvDSA)). Version 0.5-3-1 was updated by Erin Hartman and Jasjeet Sekhon and can be installed on any R platform (i.e. Windows, Mac, *nix).
| download | platform | release date | status | maintainer | release notes |
| MSM_point_treatment.zip | unix/windows src | 2/1/2006 | stable | ywang [at] stat.berkeley.edu | |
| cvDSA_0.5-3-1.tar.gz | unix/windows src | 6/12/2009 | stable | sekhon [at] berkeley.edu |
cosmo
searches a set of unaligned DNA sequences for a common
motif that might represent, for example, a shared transcription factor
binding site. This search can be supervised by specifying a set of
constraints that the position weight matrix of the unknown motif must
satisfy. Such constraints may be formulated, for example, on the
basis of prior knowledge about the structure of the transcription
factor in question. More information on cosmo as well as an
implementation in the form of a web-application are available at
http://cosmoweb.berkeley.edu/intro.html.
| download | platform | release date | status | maintainer | release notes |
| cosmo_1.0.tar.gz | unix/src | 9/5/2006 | stable | bembom [at] berkeley.edu |
This package implements IPTW estimators that data-adaptively select an appropriate truncation level for the treatment mechanism with the aim of minimizing the mean squared error of the resulting estimator.
| download | platform | release date | status | maintainer | release notes |
| tIPTW_1.0.0.tar.gz | unix/src | 3/10/2008 | stable | bembom [at] berkeley.edu |