R/Exp.R, R/Gamma.R, R/GenF.R, and 5 more
means.RdMean and restricted mean survival time functions for distributions which are built into flexsurv.
mean_exp(rate = 1) rmst_exp(t, rate = 1, start = 0) mean_gamma(shape, rate = 1) rmst_gamma(t, shape, rate = 1, start = 0) rmst_genf(t, mu, sigma, Q, P, start = 0) mean_genf(mu, sigma, Q, P) rmst_genf.orig(t, mu, sigma, s1, s2, start = 0) mean_genf.orig(mu, sigma, s1, s2) rmst_gengamma(t, mu = 0, sigma = 1, Q, start = 0) mean_gengamma(mu = 0, sigma = 1, Q) rmst_gengamma.orig(t, shape, scale = 1, k, start = 0) mean_gengamma.orig(shape, scale = 1, k) rmst_gompertz(t, shape, rate = 1, start = 0) mean_gompertz(shape, rate = 1) mean_lnorm(meanlog = 0, sdlog = 1) rmst_lnorm(t, meanlog = 0, sdlog = 1, start = 0) mean_weibull(shape, scale = 1) rmst_weibull(t, shape, scale = 1, start = 0)
| rate | Rate parameter (exponential and gamma) |
|---|---|
| t | Vector of times to which restricted mean survival time is evaluated |
| start | Optional left-truncation time or times. The returned restricted mean survival will be conditioned on survival up to this time. |
| shape | Shape parameter (Weibull, gamma, log-logistic, generalized gamma [orig], generalized F [orig]) |
| mu | Mean on the log scale (generalized gamma, generalized F) |
| sigma | Standard deviation on the log scale (generalized gamma, generalized F) |
| Q | Vector of first shape parameters (generalized gamma, generalized F) |
| P | Vector of second shape parameters (generalized F) |
| s1 | Vector of first F shape parameters (generalized F [orig]) |
| s2 | vector of second F shape parameters (generalized F [orig]) |
| scale | Scale parameter (Weibull, log-logistic, generalized gamma [orig], generalized F [orig]) |
| k | vector of shape parameters (generalized gamma [orig]). |
| meanlog | Mean on the log scale (log normal) |
| sdlog | Standard deviation on the log scale (log normal) |
mean survival (functions beginning 'mean') or restricted mean survival (functions beginning 'rmst_').
For the exponential, Weibull, log-logistic, lognormal, and gamma, mean survival is provided analytically. Restricted mean survival for the exponential distribution is also provided analytically. Mean and restricted means for other distributions are calculated via numeric integration.