| Name : R-tmle
| |
| Version : 2.0.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.2
| Date : 2024-06-14 11:28:30
|
| Group : Development/Libraries/Other
| Source RPM : R-tmle-2.0.1.1-lp153.2.2.src.rpm
|
| Size : 0.21 MB
| |
| Packager : (none)
| |
| Summary : Targeted Maximum Likelihood Estimation
|
Description :
Targeted maximum likelihood estimation of point treatment effects
(Targeted Maximum Likelihood Learning, The International Journal of
Biostatistics, 2(1), 2006. This version automatically estimates the
additive treatment effect among the treated (ATT) and among the
controls (ATC). The tmle() function calculates the adjusted marginal
difference in mean outcome associated with a binary point treatment,
for continuous or binary outcomes. Relative risk and odds ratio
estimates are also reported for binary outcomes. Missingness in the
outcome is allowed, but not in treatment assignment or baseline
covariate values. The population mean is calculated when there is
missingness, and no variation in the treatment assignment. The
tmleMSM() function estimates the parameters of a marginal structural
model for a binary point treatment effect. Effect estimation stratified
by a binary mediating variable is also available. An ID argument can be
used to identify repeated measures. Default settings call
\'SuperLearner\' to estimate the Q and g portions of the likelihood,
unless values or a user-supplied regression function are passed in as
arguments.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
