Nothing
"print.summary.bsam" <- function(x, ...) {
cat("\n")
if (x$model == "bsaq") {
cat("Quantile of interest = ", x$p, "\n")
}
cat("Number of Cosine basis functions = ", x$nbasis, "\n")
cat("Number of observations = ", x$nobs, "\n")
cat("Number of covariates (no intercept) = ", x$ndimw, "\n")
cat("\n")
cat("MCMC transition draws = ", x$nblow, "\n")
cat("MCMC draws saved for estimation = ", x$smcmc, "\n")
cat("Save every nskip draws = ", x$nskip, "\n")
cat("MCMC draws total = ", x$nmcmc, "\n")
cat("\n")
for (i in 1:x$nfun) {
if (x$fmodel[i] > 1) {
cat("Function = ", i, "\n")
cat("Proportion of Theta Accepted after burn-in = ", x$pmet[i], "\n")
cat("\n")
}
}
if (x$model != "gbsar") {
cat("R-Square = ", round(x$rsquarey, 4), "\n")
cat("\n")
}
if (x$marglik) {
cat("Log Integrated Likelihood", "\n")
cat("LIL Gelfand & Dey = ", round(x$lilm, 4), "\n")
cat("LIL Newton & Raftery (biased) = ", round(x$lilnr, 4), "\n")
if (x$model != "gbsar") {
if (x$spmadeq) {
cat("LIL Parametric = ", round(x$lmarg.lm, 4), "\n")
cat("\n")
cat("H0: Parametric versus H1: Semiparametric", "\n")
cat("Log Bayes Factor (BF[01]) = ", round(x$lilm - x$lmarg.lm, 4), "\n")
}
}
cat("\n")
}
cat("beta", "\n")
sout <- c("PostM", "PostStd", "PostM/STD")
bout <- cbind(x$betam, x$betas, (x$betam/x$betas))
colnames(bout) <- sout
rownames(bout) <- x$wnames
print(bout)
cat("\n")
if (x$model == "gbsar") {
if (x$family == "negative.binomial" || x$family == "poisson.gamma") {
cat("kappa", "\n")
cat("PostM kappa =", x$kappam, "\n")
cat("PostS kappa =", x$kappas, "\n")
cat("\n")
}
} else {
cat("sigma", "\n")
cat("PostM sigma =", x$sigmam, "\n")
cat("PostS sigma =", x$sigmas, "\n")
cat("\n")
}
for (i in 1:x$nfun) {
cat("-----", "\n")
cat("\n")
cat("Function = ", i, sep = "", "\n")
if (x$fmodel[i] == 1) {
cat("Unrestricted model", "\n")
} else if (x$fmodel[i] == 2 & x$fpm[i] == 1) {
cat("Increasing function", "\n")
} else if (x$fmodel[i] == 2 & x$fpm[i] == -1) {
cat("Decreasing function", "\n")
} else if (x$fmodel[i] == 3 & x$fpm[i] == 1) {
cat("Increasing convex function", "\n")
} else if (x$fmodel[i] == 3 & x$fpm[i] == -1) {
cat("Decreasing concave function", "\n")
} else if (x$fmodel[i] == 4 & x$fpm[i] == 1) {
cat("Increasing concave function", "\n")
} else if (x$fmodel[i] == 4 & x$fpm[i] == -1) {
cat("Decreasing convex function", "\n")
} else if (x$fmodel[i] == 5 & x$fpm[i] == 1) {
cat("Increasing S (convex to concave) function", "\n")
} else if (x$fmodel[i] == 5 & x$fpm[i] == -1) {
cat("Decreasing S (concave to convex) function", "\n")
} else if (x$fmodel[i] == 6 & x$fpm[i] == 1) {
cat("Increasing Rotated S (concave to convex) function", "\n")
} else if (x$fmodel[i] == 6 & x$fpm[i] == -1) {
cat("Decreasing Rotated S (convex to concave) function", "\n")
} else if (x$fmodel[i] == 7 & x$fpm[i] == 1) {
cat("Inverted U: increasing to omega then decreasing", "\n")
} else if (x$fmodel[i] == 7 & x$fpm[i] == -1) {
cat("U Shaped: decreasing to omega then increasing", "\n")
} else if (x$fmodel[i] == 8 & x$fpm[i] == 1) {
cat("Multiple Extrema : start from increasing and alternates monotone shape", "\n")
} else if (x$fmodel[i] == 8 & x$fpm[i] == -1) {
cat("Multiple Extrema : start from decreasing and alternates monotone shape", "\n")
}
cat("\n")
if (x$fmodel[i] > 2 & x$fmodel[i] < 7) {
cat("Linear term alpha in x for constrainted f", "\n")
cat("Posterior mean of alpha =", x$alpham[i], "\n")
cat("Posterior stddev of alpha =", x$alphas[i], "\n")
cat("\n")
}
if ((x$fmodel[i] == 5) || (x$fmodel[i] == 6) || (x$fmodel[i] == 7)) {
if (x$iflagpsi == 1) {
cat("psi is slople of squish function", "\n")
if(x$model == "gbsar") {
cat("Posterior mean of psi =", x$psim[i], "\n")
cat("Posterior stddev of psi =", x$psis[i], "\n")
} else {
cat("Posterior mean of psi =", x$psim[1,i], "\n")
cat("Posterior stddev of psi =", x$psis[1,i], "\n")
}
} else {
cat("psi is slople of squish function, is constant", "\n")
cat("Fixed psi = ", x$psim, "\n")
}
cat("\n")
cat("omega is inflection point of squish function", "\n")
if(x$model == "gbsar") {
cat("Posterior mean omega = ", x$omegam[i], "\n")
cat("Posterior stdev omega = ", x$omegas[i], "\n")
} else {
cat("Posterior mean omega = ", x$omegam[1,i], "\n")
cat("Posterior stdev omega = ", x$omegas[1,i], "\n")
}
cat("\n")
}
if (x$fmodel[i] == 8) {
if (x$iflagpsi == 1) {
cat("psi is slople of squish function", "\n")
cat("Posterior mean of psi =", x$psim[1:x$nExtremes[i],i], "\n")
cat("Posterior stddev of psi =", x$psis[1:x$nExtremes[i],i], "\n")
} else {
cat("psi is slople of squish function, is constant", "\n")
cat("Fixed psi = ", x$psim, "\n")
}
cat("\n")
cat("omega is inflection point of squish function", "\n")
cat("Posterior mean omega = ", x$omegam[1:x$nExtremes[i],i], "\n")
cat("Posterior stdev omega = ", x$omegas[1:x$nExtremes[i],i], "\n")
cat("\n")
}
if (x$model == "gbsar") {
cat("theta_k ~ N(0,tau2*exp(-gamma*k))", "\n")
} else {
if (x$fmodel[i] == 1) {
cat("theta_k ~ N(0,sigma2*tau2*exp(-gamma*k))", "\n")
} else {
cat("theta_k ~ N(0,sigma*tau2*exp(-gamma*k))", "\n")
}
}
cat("\n")
if (x$fmodel[i] == 1) {
if (x$iflagprior == 1) {
cat("Lasso Smoothing prior with tau2 ~ Exp(lambda)", "\n")
} else {
cat("T-Smoothing prior with tau2 ~ IG", "\n")
}
}
cat("Tau", "\n")
cat("PostM PostS", "\n")
cat(c(x$taum[i], x$taus[i]), "\n")
cat("\n")
cat("Gamma", "\n")
gamout <- c(x$gammam[i], x$gammas[i])
names(gamout) <- c("PostM", "PostS")
print(gamout)
cat("\n")
cat("Zeta = ln(tau2) - mean(k)*gamma", "\n")
zetaout <- c(x$zetam[i], x$zetas[i])
names(zetaout) <- c("PostM", "PostS")
print(zetaout)
cat("\n")
cat("Cosine Basis weights theta", "\n")
if (x$fmodel[i] == 1) {
tnames <- paste("T", 1:x$nbasis, sep = "")
bout <- cbind(x$thetam[2:(x$nbasis + 1), i], x$thetas[2:(x$nbasis + 1), i],
(x$thetam[2:(x$nbasis + 1), i]/x$thetas[2:(x$nbasis + 1), i]))
} else {
tnames <- paste("T", 0:x$nbasis, sep = "")
bout <- cbind(x$thetam[, i], x$thetas[, i], (x$thetam[, i]/x$thetas[, i]))
}
sout <- c("PostMean", "PostSTD", "Ratio")
colnames(bout) <- sout
rownames(bout) <- tnames
print(round(bout, 5))
cat('\n')
}
}
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