check_data_surv: Check that data is in right shape, hyparameters are feasible,...
In ebenmichael/balancer: Matrix constraints for covariate balance
check_data_surv R Documentation
Check that data is in right shape, hyparameters are feasible, and basis fns are valid
Description
Check that data is in right shape, hyparameters are feasible, and basis fns are valid
Usage
check_data_surv(B_X, trt, times, events, t, lambda, lowlim = 1, uplim = NULL)
Arguments
B_X
n x k basis matrix of covariates (X)
trt
Vector of treatment assignments
times
Vector of event/censoring times (see events for if event or censoring time)
events
Vector of boolean censoring indicators (whether individual was censored)
t
Time
lambda
Regularization hyper parameter
lowlim
Lower limit on weights, default 1
uplim
Upper limit on weights, default NULL
ebenmichael/balancer documentation built on Feb. 21, 2025, 7:50 a.m.
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| check_data_surv | R Documentation |
Check that data is in right shape, hyparameters are feasible, and basis fns are valid
Description
Check that data is in right shape, hyparameters are feasible, and basis fns are valid
Usage
check_data_surv(B_X, trt, times, events, t, lambda, lowlim = 1, uplim = NULL)
Arguments
B_X |
n x k basis matrix of covariates (X) |
trt |
Vector of treatment assignments |
times |
Vector of event/censoring times (see events for if event or censoring time) |
events |
Vector of boolean censoring indicators (whether individual was censored) |
t |
Time |
lambda |
Regularization hyper parameter |
lowlim |
Lower limit on weights, default 1 |
uplim |
Upper limit on weights, default NULL |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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