nls_test_list {gslnls}

Available NLS test problems

Description

Returns an overview of 59 NLS test problems originating primarily from the NIST Statistical Reference Datasets (StRD) archive; Bates and Watts (1988); and More, Garbow and Hillstrom (1981).

Usage

nls_test_list(fields = c("name", "class", "p", "n", "check"))

Arguments

fields

optional character vector to return a subset of columns in the data.frame.

Value

a data.frame with high-level information about the available test problems. The following columns are returned by default:

• "name" Name of the test problem for use in nls_test_problem.

• "class" Either "formula" if the model is defined as a formula or "function" if defined as a function.

• "p" Default number of parameters in the test problem.

• "n" Default number of residuals in the test problem.

• "check" One of the following three options: (1) "p, n fixed" if the listed values for p and n are the only ones possible; (2) "p <= n free" if the values for p and n are not fixed, but p must be smaller or equal to n; (3) "p == n free" if the values for p and n are not fixed, but p must be equal to n.

References

D.M. Bates and Watts, D.G. (1988). Nonlinear Regression Analysis and Its Applications, Wiley, ISBN: 0471816434.

J.J. Moré, Garbow, B.S. and Hillstrom, K.E. (1981). Testing unconstrained optimization software, ACM Transactions on Mathematical Software, 7(1), 17-41.

See Also

nls_test_problem

https://www.itl.nist.gov/div898/strd/nls/nls_main.shtml

https://people.math.sc.edu/Burkardt/f_src/test_nls/test_nls.html

Examples

## available test problems
nls_test_list()