PredictSurvFit: Prediction base on 'SurvFit' objects

In morseTKTD: Bayesian Inference of TKTD Models

Prediction base on SurvFit objects

Description

This is the generic predict S3 method for the SurvFit class. It provides predicted survival rate for "SD" or "IT" models under constant or time-variable exposure. prediction on constant exposure profile

Note: On constant exposure profiles, the results is explicit (exact), so you don't have to profile

Usage

predict_SurvFitCstExp(
  fit,
  display.exposure = NULL,
  hb_value = NULL,
  interpolate_length = NULL,
  ...
)

predict_cstSD(
  display.exposure = NULL,
  display.parameters = NULL,
  hb_value = NULL,
  interpolate_length = NULL
)

predict_cstIT(
  display.exposure = NULL,
  display.parameters = NULL,
  hb_value = NULL,
  interpolate_length = NULL
)

predict_SurvFitVarExp(
  fit,
  display.exposure = NULL,
  hb_value = NULL,
  interpolate_length = NULL,
  interpolate_method = "linear",
  ...
)

predict_varSD(
  display.exposure = NULL,
  display.parameters = NULL,
  hb_value = NULL,
  interpolate_length = NULL,
  interpolate_method = NULL
)

predict_varIT(
  display.exposure = NULL,
  display.parameters = NULL,
  hb_value = NULL,
  interpolate_length = NULL,
  interpolate_method = NULL
)

predict(fit, ...)

## S3 method for class 'SurvFit'
predict(
  fit,
  display.exposure = NULL,
  hb_value = NULL,
  interpolate_length = NULL,
  interpolate_method = "linear",
  ...
)

Arguments

fit	an object of class SurvFit
display.exposure	concentration points on which prediction is done
hb_value	a numeric used as hb_value (can be set to 0 to remove background mortality and take only effect parameters).
interpolate_length	if display.time is NULL, the argument interpolate_length can be used to provide a sequence from 0 to maximum of the time of exposure in original dataset (used for fitting).
...	Further arguments to be passed to generic methods
display.parameters	parameters of the specific model.
interpolate_method	The interpolation method for concentration. See package deSolve for details. Default is linear.

Value

a list of data.frame with the quantiles of outputs in df_quantiles or all the MCMC chains df_spaghetti

morseTKTD documentation built on June 8, 2025, 10:28 a.m.