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Description. Probability density, distribution, quantile, random generation, hazard cumulative hazard, mean, and restricted mean functions for generic mixture cure models. These distribution functions take as arguments the corresponding functions of the base distribution used.
qmixsurv gives the quantile function, which is computed by crude numerical inversion. rmixsurv generates random survival times by using qmixsurv. on a sample of uniform random numbers. Due to the numerical root-finding involved in qmixsurv, it is slow compared to typical random number generation functions. mean_mixsurv and rmst_mixsurv give the ...
Anch'io come molti di voi mi ero iscritta al sito web di www.mixsurv.com, ma fortunatamente una persona iscritta ad al femminile, ha fatto sapere che trattasi di SCAM e per avere la riprova basta...
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Mixture and non-mixture cure models using flexible base distributions from the flexsurv package.
flexsurvcure( formula, data, weights, bhazard, subset, dist, na.action, link = "logistic", mixture = T, ... )
formula A formula expression in conventional R linear modeling syntax. The response must be a survival object as returned by the Surv function, and any covariates are given on the right-hand side. For example, Surv(time, dead) ~ age + sex Surv objects of type="right","counting", "interval1" or "interval2" are supported, corresponding to right-censo...
This function works as a wrapper around flexsurvreg by dynamically constructing a custom dis-tribution using wrappers to the pdf and cdf functions. In a parametric mixture model, it is assumed that there exists a group of individuals who experience no excess mortality, with the proportion of such individuals being given by the cure fraction param-e...
flexsurvcure(Surv(rectime,censrec)~group, data=bc, dist="weibull", anc=list(scale=~group)) flexsurvcure(Surv(rectime,censrec)~group, data=bc, dist="lnorm", mixture = FALSE) flexsurvcure(Surv(rectime,censrec)~group, data=bc, dist="weibull", link="loglog") mixsurv Mixture cure models
Probability density, distribution, quantile, random generation, hazard cumulative hazard, mean, and restricted mean functions for generic mixture cure models. These distribution functions take as arguments the corresponding functions of the base distribution used.
pmixsurv(pfun, q, theta, ...) hmixsurv(dfun, pfun, x, theta, ...) Hmixsurv(pfun, x, theta, ...) dmixsurv(dfun, pfun, x, theta, ...) qmixsurv(qfun, p, theta, ...) rmixsurv(qfun, n, theta, ...) rmst_mixsurv(pfun, t, theta, ...) mean_mixsurv(pfun, theta, ...)
pfun theta The base distribution’s cumulative distribution function. The estimated cure fraction. ... dfun additional parameters to be passed to the pdf or cdf of the base distribution. The base distribution’s probability density function. x, q, t Vector of times. qfun The base distribution’s quantile function. p n Vector of probabilities. Number o...
dmixsurv gives the density, pmixsurv gives the distribution function, hmixsurv gives the hazard and Hmixsurv gives the cumulative hazard. qmixsurv gives the quantile function, which is computed by crude numerical inversion. rmixsurv generates random survival times by using qmixsurv on a sample of uniform random numbers. Due to the numerical root-fi...
Jordan Amdahl nmixsurv Non-Mixture Cure Models
Probability density, distribution, quantile, random generation, hazard cumulative hazard, mean, and restricted mean functions for generic non-mixture cure models. These distribution functions take as arguments the corresponding functions of the base distribution used.
pnmixsurv(pfun, q, theta, ...) hnmixsurv(dfun, x, theta, ...) Hnmixsurv(pfun, x, theta, ...) dnmixsurv(dfun, pfun, x, theta, ...) qnmixsurv(qfun, p, theta, ...) rnmixsurv(qfun, n, theta, ...) rmst_nmixsurv(pfun, t, theta, ...) mean_nmixsurv(pfun, theta, ...)
pfun The base distribution’s cumulative distribution function. theta The estimated cure fraction. ... Parameters to be passed to the pdf or cdf of the base distribution. dfun The base distribution’s probability density function. x, q, t Vector of times. qfun The base distribution’s quantile function. p Vector of probabilities. n Number of random nu...
es dnmixsurv pnmixsurv qnmixsurv rnmixsurv hnmixsurv Hnmixsurv mean_nmixsurv rmst_nmixsurv
dnmixsurv gives the density, pnmixsurv gives the distribution function, hnmixsurv gives the haz-ard and Hnmixsurv gives the cumulative hazard. qnmixsurv gives the quantile function, which is computed by crude numerical inversion. rnmixsurv generates random survival times by using qnmixsurv on a sample of uniform random numbers. Due to the numerical...
The event that happens first is defined by the minimum of the times to the alternative events. The flexsurvmix function fits a mixture model to data consisting of a single time to an event for each individual, and an indicator for what type of event occurs for that individual. The time to event may be observed or censored, just as in ...
Run (Ctrl-Enter) Any scripts or data that you put into this service are public. flexsurvcure documentation built on Nov. 2, 2022, 1:07 a.m. R/mixture.r defines the following functions: mean_mixsurv rmst_mixsurv rmixsurv qmixsurv dmixsurv Hmixsurv hmixsurv pmixsurv.
dmixsurv. Mixture cure models. dnmixsurv. Non-Mixture Cure Models. flexsurvcure. Mixture and Non-Mixture Parametric Cure Models. Hmixsurv. Mixture cure models. hmixsurv.
