generate_prediction_intervals_1.1: Prediction interval generating function

In jameshay218/mcmcJH: Generic random walk MCMC algorithm for parameter inference

Description

Generates data and prediction intervals that are used to plot model fits with prediction intervals and original data from provided MCMC chain file and parameters. Calls a second helper function, generate_prediction_intervals_1.2

Usage

generate_prediction_intervals_1.1(results_MCMC, burnin, param_table, all_data,
  MODEL_FUNCTION)

Arguments

results_MCMC	a full, valid file path for a .csv file containing the full MCMC chain
burnin	numeric value for the number of MCMC chain iterations to be discarded as burn in
param_table	a correctly formatted parameter table as loaded by load_param_table
all_data	a data frame containing all of the original data
MODEL_FUNCTION	a pointer to an existing R function that is used to calculate the model trajectories

Value

a list containing the following items:

• model_data: a data frame with the original data (ie. fitted) for use by a plotting function

• prediction_data: a data frame with the best fitting model's data for use by a plotting function

• lower_prediction_bounds: a data frame with the necessary information required to plot the lower prediction bound

• upper_prediction_bounds: a data frame with the necessary information required to plot the upper prediction bound

See Also

generate_prediction_intervals_1.2

jameshay218/mcmcJH documentation built on May 18, 2019, 11:20 a.m.