<div dir="ltr">Dear Mircea,<div><br></div><div>Thanks for calling these errors to our attention. They will be fixed in a subsequent update in the next week or so, and I will send you a copy of the working software off-list in the mean time.</div>
<div><br></div><div>Best,</div><div><br></div><div>Graeme</div><div><br></div><div class="gmail_extra">-- <br><div dir="ltr"><div>Ph.D. candidate, Department of Politics</div><div>Princeton University</div><div><a href="http://graemeblair.com/" target="_blank">graemeblair.com</a></div>
<div><br></div></div><div class="gmail_quote">On Sun, Aug 11, 2013 at 9:41 AM, Mircea Comsa <span dir="ltr"><<a href="mailto:mircea@mmt.ro" target="_blank">mircea@mmt.ro</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex">
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<p class="">Hi,<u></u><u></u></p>
<p class=""><u></u> <u></u></p>
<p class="">Please, could somebody to help me with the errors below. I tried to replicate two analyses from list manual v6 but I received some errors.<u></u><u></u></p>
<p class="">Thank for your time and help.<u></u><u></u></p>
<p class=""><u></u> <u></u></p>
<p class="">All the best!<u></u><u></u></p>
<p class="">Mircea<u></u><u></u></p>
<p class=""><u></u> <u></u></p>
<p class="">data(affirm)<u></u><u></u></p>
<p class="">ceiling.results <- ictreg(y ~ age + college + male + south, treat = "treat", J = 3, data = affirm, method = "ml", fit.start = "nls", ceiling = TRUE, ceiling.fit = "bayesglm", ceiling.formula = ~ age + college + male + south)<u></u><u></u></p>
<p class=""><span style="background-color:yellow">Error in cbind(y, 1 - y) : object 'y' not found</span><u></u><u></u></p>
<p class=""><u></u> <u></u></p>
<p class=""><u></u> <u></u></p>
<p class="">data(race)<u></u><u></u></p>
<p class="">mle.estimates <- ictreg(y ~ male + college + age + south, data = race)<u></u><u></u></p>
<p class="">Note: number of control items set to 3 <u></u><u></u></p>
<p class="">draws <- mvrnorm(n = 3, mu = coef(mle.estimates), Sigma = vcov(mle.estimates) * 9)<u></u><u></u></p>
<p class="">bayesDraws.1 <- ictregBayes(y ~ male + college + age + south, data = race, delta.start = draws[1, 1:5], psi.start = draws[1, 6:10], burnin = 10000, n.draws = 100000, delta.tune = diag(.002, 5), psi.tune = diag(.00025, 5), constrained.single
= "full")<u></u><u></u></p>
<p class=""><u></u> <u></u></p>
<p class="">*** Starting posterior sampling... *** <u></u><u></u></p>
<p class=""><u></u> <u></u></p>
<p class="">10 percent done.<u></u><u></u></p>
<p class=""> Metropolis acceptance ratios<u></u><u></u></p>
<p class=""> Sensitive item model: 0.384<u></u><u></u></p>
<p class=""> Control items model: 0.461<u></u><u></u></p>
<p class=""><u></u> <u></u></p>
<p class="">20 percent done.<u></u><u></u></p>
<p class=""> Metropolis acceptance ratios<u></u><u></u></p>
<p class=""> Sensitive item model: 0.38<u></u><u></u></p>
<p class=""> Control items model: 0.464<u></u><u></u></p>
<p class=""><u></u> <u></u></p>
<p class="">30 percent done.<u></u><u></u></p>
<p class=""> Metropolis acceptance ratios<u></u><u></u></p>
<p class=""> Sensitive item model: 0.376<u></u><u></u></p>
<p class=""> Control items model: 0.463<u></u><u></u></p>
<p class=""><u></u> <u></u></p>
<p class="">40 percent done.<u></u><u></u></p>
<p class=""> Metropolis acceptance ratios<u></u><u></u></p>
<p class=""> Sensitive item model: 0.377<u></u><u></u></p>
<p class=""> Control items model: 0.464<u></u><u></u></p>
<p class=""><u></u> <u></u></p>
<p class="">50 percent done.<u></u><u></u></p>
<p class=""> Metropolis acceptance ratios<u></u><u></u></p>
<p class=""> Sensitive item model: 0.376<u></u><u></u></p>
<p class=""> Control items model: 0.464<u></u><u></u></p>
<p class=""><u></u> <u></u></p>
<p class="">60 percent done.<u></u><u></u></p>
<p class=""> Metropolis acceptance ratios<u></u><u></u></p>
<p class=""> Sensitive item model: 0.375<u></u><u></u></p>
<p class=""> Control items model: 0.465<u></u><u></u></p>
<p class=""><u></u> <u></u></p>
<p class="">70 percent done.<u></u><u></u></p>
<p class=""> Metropolis acceptance ratios<u></u><u></u></p>
<p class=""> Sensitive item model: 0.375<u></u><u></u></p>
<p class=""> Control items model: 0.465<u></u><u></u></p>
<p class=""><u></u> <u></u></p>
<p class="">80 percent done.<u></u><u></u></p>
<p class=""> Metropolis acceptance ratios<u></u><u></u></p>
<p class=""> Sensitive item model: 0.374<u></u><u></u></p>
<p class=""> Control items model: 0.465<u></u><u></u></p>
<p class=""><u></u> <u></u></p>
<p class="">90 percent done.<u></u><u></u></p>
<p class=""> Metropolis acceptance ratios<u></u><u></u></p>
<p class=""> Sensitive item model: 0.375<u></u><u></u></p>
<p class=""> Control items model: 0.464<u></u><u></u></p>
<p class=""><span style="background-color:yellow">Error in gzfile(file, "wb") : cannot open the connection<u></u><u></u></span></p>
<p class=""><span style="background-color:yellow">In addition: Warning messages:<u></u><u></u></span></p>
<p class=""><span style="background-color:yellow">1: In if (probit) { :<u></u><u></u></span></p>
<p class=""><span style="background-color:yellow"> the condition has length > 1 and only the first element will be used<u></u><u></u></span></p>
<p class=""><span style="background-color:yellow">2: In if (robit) { :<u></u><u></u></span></p>
<p class=""><span style="background-color:yellow"> the condition has length > 1 and only the first element will be used<u></u><u></u></span></p>
<p class=""><span style="background-color:yellow">3: In gzfile(file, "wb") :<u></u><u></u></span></p>
<p class=""><span style="background-color:yellow"> cannot open compressed file 'C:\Users\user\Documents/desktop/res.RData', probable reason 'No such file or directory'</span><u></u><u></u></p>
<p class=""><u></u> <u></u></p>
<p class="" style="margin-bottom:12pt"><span lang="RO" style="font-size:12pt;color:rgb(0,32,96)">_________________________________________________________</span><span style="font-size:12pt;color:rgb(0,32,96)"><u></u><u></u></span></p>
<p class=""><span style="font-size:12pt;color:rgb(0,32,96)">Mircea Comsa, Assoc. Prof.<br>
Faculty of Sociology and Social Work<br>
Babes-Bolyai University, Romania<br>
Bd. 21 Decembrie 1989, nr.128-130 RO-400604 Cluj-Napoca<br>
Tel: <a href="tel:%2B%2040-0744-133.871" value="+40744133871" target="_blank">+ 40-0744-133.871</a><br>
Fax: <a href="tel:%2B%2040-264-424.674" value="+40264424674" target="_blank">+ 40-264-424.674</a><u></u><u></u></span></p>
<p class=""><u></u> </p></div></div></blockquote></div>
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