tests/testthat/test_incgamma.R

context("incgamma")

test_that("incgamma",{
    require(numDeriv)
    R_func <- function(x) {
        n <- length(x)/2
        res <- 0
        for (i in 1:n) {
            res <- res + pgamma(x[2*(i-1)+1], x[2*i], 1)
        }
        return(res*res)
    }

    x <- c(1.8, 2.3, 4.4, 0.3)

    R_val <- R_func(x)
    R_grad <- grad(R_func, x, method.args=list(r=8))
    R_hess <- hessian(R_func, x, method.args=list(r=8))
    R_hess_spLT <- tril(drop0(R_hess, 1e-10))
    
    c_list <- cppad_incgamma(x)
    c_val <- c_list$val
    c_grad <- c_list$grad
    c_hess_dense <- c_list$hess.dense
    c_hess_sp <- c_list$hess.sp
    c_hess_spLT <- tril(c_list$hess.spLT)
 
    expect_equal(c_val, R_val)
    expect_equal(c_grad, R_grad, tolerance=1e-5)
    expect_equal(c_hess_dense, R_hess, tolerance=1e-4)
    expect_equal(c_hess_dense, c_hess_sp)
    expect_equal(c_hess_spLT, tril(drop0(c_hess_sp, 1e-10)))
    expect_equal(c_hess_spLT, R_hess_spLT, tolerance=1e-4)   
})
    
braunm/CppADutils documentation built on Aug. 29, 2022, 2:18 p.m.