survDataTKTD objectThis function estimates the parameters of a TKTD model for survival analysis using Bayesian inference. In this model, the survival rate of individuals is modeled as a function of the chemical compound concentration with a mechanistic description of the effects on survival over time.
survFitTKTD(data, n.chains = 3, quiet = FALSE)The function returns an object of class survFitTKTD, which is
a list with the following information:
a table of the estimated parameters as medians and 95% credible intervals
an object of class mcmc.list with the posterior
distribution
a table with warning messages
a JAGS model object
a list of parameter names used in the model
an integer value corresponding to the number of chains used for the MCMC computation
a list of two indices indicating the beginning and the end of monitored iterations
a numerical value corresponding to the thinning interval
a list of data passed to the JAGS model
An object of class survData.
Number of MCMC chains. The minimum required number of chains is 2.
If FALSE, prints logs and progress bar from JAGS.
Delignette-Muller ML, Ruiz P and Veber P (2017). Robust fit of toxicokinetic-toxicodynamic models using prior knowledge contained in the design of survival toxicity tests.
Bedaux, J., Kooijman, SALM (1994) Statistical analysis of toxicity tests, based on hazard modeling, Environmental and Ecological Statistics, 1, 303-314.