get_initial_param {AIUQ} | R Documentation |
Construct initial values for the parameters to be optimized over
Description
Construct initial values for the parameters to be optimized over in AIUQ
method of SAM
class.
Usage
get_initial_param(model_name, sigma_0_2_ini = NA, num_param = NA)
Arguments
model_name |
fitted model, options from ('BM','OU','FBM','OU+FBM', 'user_defined'), with Brownian motion as the default model. See 'Details'. |
sigma_0_2_ini |
initial value for background noise, default is |
num_param |
number of parameters need to be estimated in the model,
need to be non-NA value for |
Details
If model_name
equals 'user_defined', then num_param
need to be
provided to determine the length of the initial values vector.
Value
A matrix with one row of initial values for the parameters to be
optimized over in AIUQ
method of SAM
class.
Author(s)
Yue He [aut], Xubo Liu [aut], Mengyang Gu [aut, cre]
References
Gu, M., He, Y., Liu, X., & Luo, Y. (2023). Ab initio uncertainty quantification in scattering analysis of microscopy. arXiv preprint arXiv:2309.02468.
Gu, M., Luo, Y., He, Y., Helgeson, M. E., & Valentine, M. T. (2021). Uncertainty quantification and estimation in differential dynamic microscopy. Physical Review E, 104(3), 034610.
Examples
library(AIUQ)
get_initial_param(model_name = "BM")