Function reference • ino

Numerical optimization problem object

The central object when working with {ino}.

Nop: Nop Object (R6 Class)

Functions

The following functions to demonstrate numerical optimization are included in the package.

f_ackley(): Ackley function

f_beale(): Beale function

f_easom(): Easom function

f_ll_hmm(): Log-likelihood function of a Gaussian-hidden Markov model

f_ll_mnp(): Log-likelihood function of the (normally mixed) multinomial probit model

f_matyas(): Matyas function

sim_hmm(): Simulate a time series from a Gaussian-hidden Markov model

sim_mnp(): Simulate data from a (normally mixed) multinomial probit model

Applications

The following pre-computed applications are included in the package, see the vignettes.

hmm_ino: Example application to HMM likelihood

mixture_ino: Example application to mixture likelihood

probit_ino: Example application of to probit likelihood

Small utils

These helper functions may be useful beyond {ino}.

is_TRUE_FALSE(): Check for proper boolean

is_count(): Check for proper count

is_index_vector(): Check for proper index vector

is_name(): Check for proper name

is_name_vector(): Check for proper name vector

is_number(): Check for proper number

is_proportion(): Check for proper proportion

is_time_limit(): Check for proper time limit

Internal

These functions are not user-level.

build_initial(): Unified function call for initial parameter specifications

filter_results(): Filter optimization results

ino ino-package: ino: Initialization of Numerical Optimization

simplify_results(): Simplify optimization results

standardize_argument(): Standardize argument

subset_argument(): Subset argument

test_nop(): Test Nop object