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Strata Variables for Cox Regression: Added
support for strata()
function in Cox regression formulas.
This allows users to fit stratified Cox models where separate baseline
hazard functions are estimated for different groups while sharing
regression coefficients across strata.
Continuous-Nested-Within-Class Effects: Added
support for continuous-nested-within-class effects using the
:
operator in formulas. This allows modeling how continuous
variables’ effects vary across different levels of categorical
variables.
train and test validation: this feature is used
for valid inference when test_ratio
is set between
0-1.
feature ratio: Proportion of candidate features sampled uniformly at random during forward selection (default = 1). This randomized selection helps identify the best variables while reducing the risk of overfitting, and is only valid when strategy is “forward”..
X:A
vs
A:X
)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.