Nothing
context('Estimate FAVAR')
data('regdata')
fit <- FAVAR(Y = regdata[,c("Inflation","Unemployment","Fed_funds")],
X = regdata[,1:115], slowcode = slowcode,fctmethod = 'BBE',
factorprior = list(b0 = 0, vb0 = NULL, c0 = 0.01, d0 = 0.01),
varprior = list(b0 = 0,vb0 = 0, nu0 = 0, s0 = 0),
nrep = 1000, nburn = 100, K = 2, plag = 2, ncores = 1)
dtirf <- irf(fit,resvar = 2, tcode = tcode)
lamb_tol <- sum((abs(colMeans(fit$Lamb[,,6])) - abs(c(0.8172659, 0.6471958, 0.2963342, 0.1737213, 0.2347369)))^2)
varcoef_tol <- sum((abs(rowMeans(fit$varrlt$A)) - abs(c(0.778129386, -0.603017504, 0.213206464, 0.325159327, -0.100403434,
0.149940841, 0.853207800, 0.286029475, -0.321815773, 0.681410053,
0.031195983, 0.009408599, 1.028526266, -0.031933855, 0.240291022,
-0.212201285, 0.437870305, -0.024441733, 0.749676918, 0.130926541,
0.055975167, -0.078032560, -0.060970421, -0.013329282, 0.791751571,
0.186799661, 0.046754597, 0.251181251, 0.150234164, 0.061598555,
-0.048730709, 0.001875996, 0.061739936, 0.138572123, -0.370153282,
-0.046645148, 0.121886463, -0.184829209, 0.024781678, -0.208729971,
0.159108630, -0.416506794, 0.024704619, 0.198934484, -0.150351969,
-0.008916529, 0.014557877, 0.046474131, 0.025599617, 0.159949583)))^2)
irf_tol <- sum((rowMeans(sapply(dtirf$imp, function(x) x[2,])) -
c(-0.06851129, -0.13232879, -0.32971814, -0.51434825, -0.64979011, -0.74314192,
-0.80345666, -0.84062401, -0.86199900, -0.87239392))^2)
# test
test_that('loading factor', expect_true(lamb_tol < 0.01))
test_that('coefficients VAR', expect_true(varcoef_tol < 0.01))
test_that('IRF', expect_true(irf_tol < 0.01))
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