Rcpp_scaled_neg_log_gradient: Rcpp routine for computing the negative log-posterior...

Description Usage Arguments Value

View source: R/RcppExports.R

Description

Rcpp routine for computing the negative log-posterior gradient of the MASSIVE model.

Usage

1
Rcpp_scaled_neg_log_gradient(J, N, SS, sigma_G, param_list, prior_sd, n = 2L)

Arguments

J

Integer number of genetic instrumental variables.

N

Integer number of observations.

SS

Numeric matrix containing first- and second-order statistics.

sigma_G

Numeric vector of genetic IV standard deviations.

param_list

List of IV model parameter values.

prior_sd

List of standard deviations for the parameter Gaussian priors.

n

Integer number of alleles (trials) for the binomial genetic variants.

Value

numeric vector; negative log-posterior gradient for the MASSIVE model.


igbucur/MASSIVE documentation built on Oct. 26, 2020, 1:26 a.m.