pcoriaccel_compute_influence_term_2_quadv_sim_via_matrix {SensIAT} | R Documentation |
Runs an optimized implementation of the compute_influence_term_2_quadv_sim_via_matrix
function.
Description
Runs an optimized implementation of the compute_influence_term_2_quadv_sim_via_matrix
function.
Usage
pcoriaccel_compute_influence_term_2_quadv_sim_via_matrix(
X,
Y,
times,
individual_X,
x_slope,
alpha,
beta,
spline_basis,
bandwidth,
tol = 0.0001220703,
kernel = "K2_Biweight"
)
Arguments
X |
Matrix of all covariates, transformed as necessary by model |
Y |
Vector of all outcomes (same length as a column of |
times |
Vector of observation times for individual |
individual_X |
Matrix of covariates for individual rows correspond to times prepared for inferences for integration. |
x_slope |
Vector of numeric(length(beta)) indicating how |
alpha |
Vector of sensitivity parameters |
beta |
Vector of coefficients of the outcome model |
spline_basis |
Spline basis object ( |
bandwidth |
Bandwidth for the kernel density estimate of the outcome model. |
tol |
Tolerance for integration |
kernel |
Kernel function to use for the kernel density estimate |
Value
integration result
[Package SensIAT version 0.1.1 Index]