ci_fct {EpiForsk}

solve optimization problem for CI bounds

Description

solve optimization problem for each coordinate of f, to obtain the uniform limit.

Usage

ci_fct(i, f, xtx_red, beta_hat, which_parm, level, n_grid, k)

Arguments

i

An index for the point at which to solve for confidence limits.

f

A function taking the parameter vector as its single argument, and returning a numeric vector.

xtx_red

Reduced form of matrix X^TX.

beta_hat

Vector of parameter estimates.

which_parm

Vector indicating which parameters to include.

level

The confidence level required.

n_grid

Either NULL or an integer vector of length 1 or the number of TRUE/indices in which_parm. Specifies the number of grid points in each dimension of a grid with endpoints defined by len. If NULL or 0L, will instead sample k points uniformly on a sphere.

k

If n_grid is NULL or 0L, the number of points to sample uniformly from a sphere.

Value

One row tibble with estimate and confidence limits.

Examples

1+1