Bayesian Inference of TKTD Models
build sub-dataframe of Nsurv without NA
build sub-dataframe of concentration without NA
Set of function to test conformity of data
Compute post value on object
Extraction methods to recover output of fit object.
build array with indices of rows
Predict Lethal Concentration at any specified time point.
Lethal Profile calculation
Create a list giving data to use in Bayesian inference.
The 'morseTKTD' package.
Plotting method for survDataVar objects
Plot of the LCxt object
Plot of the LPxt object
Plot an object PPC
Plotting method for SurvPredict objects
Plot of Prior and Posterior distributions
Posterior predictive check methods
Prediction base on SurvFit objects
Return Prior and Posterior density of parameters of SurvFit object
Creates a data set for survival analysis
Checks if an object can be used to perform survival analysis
Table of posterior estimated parameters
Fits a TKTD model for survival analysis using Bayesian inference
Internal predict function
Internal predict function
Internal predict function
Internal predict function
Advanced methods for a valuable quantitative environmental risk assessment using Bayesian inference of survival Data with toxicokinetics toxicodynamics (TKTD) models. Among others, it facilitates Bayesian inference of the general unified threshold model of survival (GUTS). See models description in Jager et al. (2011) <doi:10.1021/es103092a> and implementation using Bayesian inference in Baudrot and Charles (2019) <doi:10.1038/s41598-019-47698-0>.