Nothing
cate
now also returns the expected potential outcomes and influence functionsml_model$update()
methodcv
now only switches to log-score+brier score
when the response is a factor. Custom model-scoring function (cv argument
modelscore) automatically gets 'weights' appended to the formal-arguments.alean
: Assumption Lean inference for generalized linear model parametersate
now supports general family argumentcate
now supports parallelization via the future or parallel packageml_model
refactored. ML
new wrapper for various machine learning models.cv
parallelization (future or parallel package)riskreg_cens
cumulative risk, restricted mean survival predictions (censored
unbiased regression estimates)cate
, crr
ml_model
SL
RATE
NB
pava
ode_solve
calibration
cv
ace
method updated and renamed to ate
targeted
with implementation
of augmented inverse probability weighting methods for estimation
with missing data and causal inference (aipw
, ace
), and
double robust methods for risk regression with binary exposure
variables (riskreg
).Any scripts or data that you put into this service are public.
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