diagnostic-class: A Reference Class for diagnosing convergence.
In stan-dev/gmo: Gradient-based Marginal Optimization
Description
A Reference Class for diagnosing convergence.
Fields
par_prevA numeric vector, previous checked parameter value.
fn_prevDouble, previous checked function value.
grad_prevA numeric vector, previous checked gradient value.
tol_relDouble, relative tolerance for signaling convergence.
Methods
check_converge(par, fn, grad)Check if the difference in parameters, function value, or
gradient values reached below tolerances.
initialize(tol) Initializes previous checked values at 0.
@param tol
Tolerance threshold used for all tolerance checks.
stan-dev/gmo documentation built on May 30, 2019, 8:45 a.m.
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Description
A Reference Class for diagnosing convergence.
Fields
par_prevA numeric vector, previous checked parameter value.
fn_prevDouble, previous checked function value.
grad_prevA numeric vector, previous checked gradient value.
tol_relDouble, relative tolerance for signaling convergence.
Methods
check_converge(par, fn, grad)Check if the difference in parameters, function value, or gradient values reached below tolerances.
initialize(tol)Initializes previous checked values at 0.
@param tol Tolerance threshold used for all tolerance checks.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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