Description Usage Arguments Value Author(s) References See Also
Function to estimate the layer parameters using the approach proposed by Meju (1992)
1 | calibrate_svd(ves, par0, iterations = 100, ireport = 10, trace = TRUE)
|
ves |
A vertical electrical sounding object |
par0 |
A numeric vector with the initial values of resistivities and thicknesses |
iterations |
An integer specifying the maximum number of iterations |
ireport |
An integer specifying the report interval |
trace |
A logical flag to indicate if the optimization information must be traced |
This function returns a list with the following entries:
par: A numeric vector with the values of the layer resistivities and thicknesses
value: The value or the RSS (Residual sum of squares)
rel.error: The value of the relative error (in percentage)
cal.error: A matrix with the RSS and relative error at each iteration
Oscar Garcia-Cabrejo khaors@gmail.com
Meju, M. An effective ridge regression procedure for resistivity data inversion. Computers and Geosciences, 18(2-3), 99-119, 1992.
Other calibration functions: calibrate_ilsqp
,
calibrate_joint_nls
,
calibrate_nls
,
calibrate_seq_joint_nls
,
calibrate_step_nls
,
calibrate_step
, calibrate
,
log_mnad_resistivity
,
log_mxad_resistivity
,
log_rss_resistivity
,
mnad_resistivity
,
mxad_resistivity
,
relative_error_resitivity
,
rss_resistivity
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