# Empirical Bayes Multi-State Cox Model

## Documentation for package ‘ebmstate’ version 0.1.3

- DESCRIPTION file.

## Help Pages

ebmstate-package | Empirical Bayes multi-state Cox model
boot_coxrfx | Bootstrap confidence intervals for regression coefficients
boot_ebmstate | Bootstrap samples and bootstrap interval estimates
boot_probtrans | Bootstrap confidence intervals for transition probabilities
CIs_for_target_state | Ancillary function of 'boot_ebmstate'.
convolute_clockforward | Convolution function for clock-forward models
convolute_clockreset | Convolution function for clock-reset models
CoxRFX | Empirical Bayes, multi-state Cox model
coxrfx_object_sample | Example of an empirical Bayes model fit
cumhazCIs_for_target_transition | Ancillary function of 'boot_ebmstate'.
cumhaz_splines | Spline approximations of the cumulative hazard functions
extract_function | Ancillary function to 'boot_ebmstate'.
joint_cum_hazard_function | Compute the cumulative hazard of leaving a given state
loo_ebmstate | Leave-one-out estimation
MakeInteger | Convert factor to integer.
msfit_generic | Compute subject-specific transition hazards.
msfit_generic.coxrfx | Compute subject-specific transition hazards.
msfit_generic.default | Compute subject-specific transition hazards.
msfit_object_sample | Estimated cumulative hazard rates under an empirical Bayes Cox model (example)
mstate_data_sample | A simulated event-history data set
print.coxrfx | Print method for CoxRFX objects
print.msfit | Print method for 'msfit' objects generated by 'msfit_generic'
probtrans_by_convolution | Compute all transition probabilities from a given state using convolution
probtrans_by_convolution_clockforward | Compute transition probabilities under a clock-forward model using a convolution algorithm.
probtrans_by_convolution_clockreset | Compute transition probabilities under a clock-reset model using a convolution algorithm.
probtrans_ebmstate | Compute subject-specific transition probabilities using convolution.
probtrans_fft | Compute subject-specific transition probabilities using a convolution algorithm based on the Fast Fourier transform.
probtrans_mstate | Compute subject-specific or overall transition probabilities
probtrans_mstate.coxrfx | Compute subject-specific or overall transition probabilities
probtrans_mstate.default | Compute subject-specific or overall transition probabilities
successful_transitions | Find the unique possible path until an absorbing state
summary.coxrfx | A summary method for CoxRFX models
unique_paths | Find all possible paths until absorption from a given starting state