Description Usage Arguments Details
View source: R/helping_functions.R
dmvnorm_wrapper
is a function that evaluates the bivariate normal
distribution in a matrix of evaluation points, with local parameters.
1 2 3 4 |
eval_points |
A |
mu_1 |
The first expectation vector |
mu_2 |
The second expectation vector |
sig_1 |
The first standard deviation vector |
sig_2 |
The second standard deviation vector |
rho |
The correlation vector |
run_checks |
Run sanity check for the arguments |
This functions takes as arguments a matrix of grid points, and vectors of parameter values, and returns the bivariate normal density at these points, with these parameter values.
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