View source: R/ic-proj-rr-nolas.R
ic.proj.rr.nolas | R Documentation |
Estimate both the parameter, and or the influence curves used for estimating the projected risk ratio (not using lasso). The first column of your data should correspond to the variable of interest.
ic.proj.rr.nolas(obs_data, what = "both", control = NULL)
obs_data |
the observed data. The first column should be the outcome. |
what |
the desired return value. Should be one of |
control |
any other control parameters to be passed to the estimator. |
If what
is
- "est"
, then return the estimated parameter.
- "ic"
, then return the estimated IC of the parameter estimate.
- "both"
, then return both the parameter estimate and
corresponding estimated IC.
# not run (make sure to load in SuperLearner if running) # set.seed(1010) # fake_dat <- data.frame(y = rbinom(100, size = 1, prob = 0.5), # delta = rbinom(100, size = 1, prob = 0.5), # w = matrix(rnorm(500), ncol = 5)) # ic.proj.rr.nolas(fake_dat)
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