Mixture and Non Mixture Parametric Cure Models to Estimate Cure Indicators
Akaike's An Information Criterion for cure models
anova.curesurv function for likelihood-ratio test of two nested models...
cumLexc_alphaeweibull function
cumLexc_alphaweibull_topred function
cumLexc_alphaweibull function
cumLexc_mul function
Mixture and Non Mixture Parametric Cure Models to Estimate Cure Indica...
Fitting cure models using curesurv
dexhazdtheta_adtneh2 function
dexhazdtheta_multneh function
dexhazdtheta_wei function
digamma function
dlogCumHazdtheta_wei function
dloglogpdtheta_wei function
dlogpdtheta_wei function
dlogsndtheta_wei function
dlogTTCdtheta_wei function
dpdtheta_adtneh2 function
dpdtheta_wei function
dpidtheta_adtneh2 function
dpidtheta_multneh function
dpitheta_wei function
dptdtheta_multneh function
dpttcdtheta_adtneh2 function
dpttcdtheta_adtneh2 function
dsndtheta_adtneh2 function
dsndtheta_multneh function
dsndtheta_wei function
dTTCdtheta_wei function
exhaz_ic_adtneh2_log function
exhaz_ic_adtneh2_loglog function
exhaz_ic_adtneh2 function
exhaz_ic_multneh_log function
exhaz_ic_multneh_loglog function
exhaz_ic_multneh function
exhaz_ic_wei_log function
exhaz_ic_wei_loglog function
exhaz_ic_wei function
inc_beta_deriv function
lexc_alphaeweibull function
lexc_alphaweibull function
logCumHaz_ic_wei function
pcured function
pi_ic_adtneh2_log function
pi_ic_adtneh2_loglog function
pi_ic_adtneh2 function
pi_ic_log_wei function
pi_ic_loglog_wei function
pi_ic_multneh_log function
pi_ic_multneh_loglog function
pi_ic_multneh function
pi_ic_wei function
plot method for curesurv prediction objects
predcall_tneh function
predcall_wei function
Prediction for a curesurv cure model
print a curesurv object
pt_cure_ic_adtneh2_log function
pt_cure_ic_adtneh2_loglog function
pt_cure_ic_adtneh2 function
pt_cure_ic_log_wei function
pt_cure_ic_loglog_wei function
pt_cure_ic_multneh_log function
pt_cure_ic_multneh_loglog function
pt_cure_ic_multneh function
pt_cure_ic_noDM function
pt_cure_ic_wei function
pt_cure_wei function
sn_ic_adtneh2_log function
sn_ic_adtneh2_loglog function
sn_ic_adtneh2 function
sn_ic_log_wei function
sn_ic_multneh_log function
sn_ic_multneh_loglog function
sn_ic_multneh function
sn_ic_wei function
summary for a curesurv cure model
trigamma function
TTC_adtneh2 function
TTC_ic_adtneh2_log function
TTC_ic_adtneh2 function
TTC_ic_Jakobsen_wei function
TTC_ic_log_wei function
TTC_ic_multneh_log function
TTC_ic_multneh function
TTC_ic_wei function
TTC_multneh function
TTC_theoric_adtneh function
TTC_wei function
var_logCumHaz_wei function
var_pt_cure_wei function
var_TTC_Jakobsen_wei function
var_TTC_multneh function
var_TTC_tneh2 function
var_TTC_wei function
varexhaz_adtneh2 function
varlogTTC_Jakobsen_wei function
varlogTTC_wei function
z_alpha function identifying variables acting on alpha parameter
z_riskpop.alpha function
z_tau function identifying variables acting on tau parameter
Fits a variety of cure models using excess hazard modeling methodology such as the mixture model proposed by Phillips et al. (2002) <doi:10.1002/sim.1101> The Weibull distribution is used to represent the survival function of the uncured patients; Fits also non-mixture cure model such as the time-to-null excess hazard model proposed by Boussari et al. (2020) <doi:10.1111/biom.13361>.