is_th_reduced_valid: A helper function to determine if the reduced form parameter...
In eehh-stanford/baydem: Bayesian Tools for Reconstructing Past and Present Demography
View source: R/max_lik_fitting_functions.R
is_th_reduced_valid R Documentation
A helper function to determine if the reduced form parameter vector is valid
Description
The paramater vector is invalid if:
(a) Any mixture weight does not lie between 0 and 1
(b) mu is not ordered from small to large values
(c) A standard deviation is lower than s_min
Neither bounds on the values of the means or the upper values of the standard
deviations are checked, but they are enforced in the optimization in
fit_trunc_gauss_mix.
Usage
is_th_reduced_valid(th_reduced, s_min = 0)
Arguments
th_reduced
The paramater vector without the first mixture weight
s_min
A minimum value for the mixture standard deviations
(default: 0)
Value
TRUE or FALSE
eehh-stanford/baydem documentation built on June 3, 2024, 5:46 p.m.
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View source: R/max_lik_fitting_functions.R
| is_th_reduced_valid | R Documentation |
A helper function to determine if the reduced form parameter vector is valid
Description
The paramater vector is invalid if:
(a) Any mixture weight does not lie between 0 and 1 (b) mu is not ordered from small to large values (c) A standard deviation is lower than s_min
Neither bounds on the values of the means or the upper values of the standard deviations are checked, but they are enforced in the optimization in fit_trunc_gauss_mix.
Usage
is_th_reduced_valid(th_reduced, s_min = 0)
Arguments
th_reduced |
The paramater vector without the first mixture weight |
s_min |
A minimum value for the mixture standard deviations (default: 0) |
Value
TRUE or FALSE
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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