aftsem_fit {aftsem} | R Documentation |
Fits a semi-parametric accelerated failure time (AFT) model to the provided data using various methods.
aftsem_fit(Z, y, delta, betafirst, method, control, intercept, resample, nobs)
Z |
A matrix of covariates. |
y |
A vector of the response variable, typically survival times. |
delta |
A censoring indicator vector where 1 indicates an uncensored observation and 0 indicates a censored observation. |
betafirst |
The initial estimate of the beta coefficients. |
method |
The method of estimation to use, one of "buckley", "gehan", "jin", or "gehan-poly". |
control |
A list of control parameters including 'eps' for convergence criterion and 'maxiter' for the maximum number of iterations. |
intercept |
Logical; if TRUE, include an intercept in the model. |
resample |
The number of resamples to use for Monte Carlo estimation of variance; relevant for certain methods only. |
nobs |
The number of observations in the data. |
The 'aftsem_fit' function provides a way to fit a semi-parametric AFT model to survival data with potential RIGHT censoring. Depending on the chosen method, different estimation techniques are used, such as Buckley-James or Gehan's method. If resampling is required for the method, the function will generate resamples from an exponential distribution.
Returns a list object of class "aftsem" containing the following components: - 'converged': Logical indicating if the fitting procedure converged. - 'beta': The estimated beta coefficients. - 'iters': The number of iterations performed. - 'resid': The residuals from the model fit. NOT THE MARTINGALE RESIDUALS - 'sampling.used': Logical indicating if sampling was used. - 'intercept': The estimated intercept, included if 'intercept = TRUE'. - 'beta_star': The beta coefficients estimated for each resample, included if resampling was used. - 'fe': Number of calls of function in minimalization proccess (only available for gehan-poly and gehan-heller method) - 'covariance' Covariance matrix (only available for gehan-heller method)