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). Version 0.5-3-2 was updated by Susan Gruber.