get_kernel: Obtain 2D kernel density estimates given sufficient...
In pmpp: Posterior Mean Panel Predictor
View source: R/pmpp_aux_funcs.R
Description
Obtain 2D kernel density estimates given sufficient statistics for lambdas
and the initial data Y0
Usage
1
get_kernel(lambdas, sigma2, dens_grid, N, T, Y0)
Arguments
lambdas
sufficient statistics for the intercept term
sigma2
variance of the shocks
dens_grid
grid over which the density is to be computed
N
cross-sectional dimension of the data
T
time dimension of the data
Y0
initial observations of the dependent variable
pmpp documentation built on Oct. 30, 2019, 11:35 a.m.
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View source: R/pmpp_aux_funcs.R
Description
Obtain 2D kernel density estimates given sufficient statistics for lambdas and the initial data Y0
Usage
1 | get_kernel(lambdas, sigma2, dens_grid, N, T, Y0)
|
Arguments
lambdas |
sufficient statistics for the intercept term |
sigma2 |
variance of the shocks |
dens_grid |
grid over which the density is to be computed |
N |
cross-sectional dimension of the data |
T |
time dimension of the data |
Y0 |
initial observations of the dependent variable |
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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