generate_random_params_QMC: Generate Quasi Monte Carlo Random Parameters for Simulation

In rdinnager/nichefillr: Niche Filling Simulations in R

Description

Function that takes a set of minimum and maximum values and generates uniform random values for each parameter within a hypercube using QuasiMC

Usage

generate_random_params_QMC(reps = 10000, potent_vol_range = c(1, 20),
  total_vol_range = c(5, 5), num_peaks_range = c(2L, 10L),
  P_min_range = c(0.9, 0.9), P_max_range = c(1.1, 1.1),
  prop_variance_range = c(0.1, 0.5), d_range = c(2L, 2L), P_range = c(1,
  1), e_var_range = c(0.1, 0.4), gamma_range = c(0.01, 1),
  b_rate_range = c(0.001, 0.003), D_range = c(1, 1),
  h_to_sig_ratio_range = c(0.5, 2), a_prop_range = c(0.05, 0.05),
  tot_time_range = c(50000, 50000), V_range = c(0.01, 0.01),
  mult_range = c(1, 1), C_range = c(1, 1), c_var_range = c(0.1, 0.1))

Arguments

reps	Number of random sets of paramters to generate
xx_range	Vectors of length two, specifying the minimum and maximum values of parameter xx in the model

Value

A data.frame containing the random parameter values

rdinnager/nichefillr documentation built on Dec. 3, 2019, 7:13 a.m.