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Dear Maria Paula,<br>
<br>
Good question (see below). Probably you have to specify
Family=categorical. However, we've decided to leave out the bayesian
functions from the next version of IPMpack onwards. Instead we will
place the current functions (including makePostFecObjs) on the
website for those people who want to write such code themselves. If
you are interested in including uncertainty in your analyses you can
also use the current functions getListRegObjects and
getListRegObjectsFec in conjunction with makeListPmatrix,
makeListFmatrix and makeListIPMs, getIPMoutput.<br>
<br>
best wishes,<br>
Cory, Eelke<br>
<br>
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font-size: 12pt;">
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<div style="color: rgb(0, 0, 0); background-color: rgb(255,
255, 255); font-family: 'times new roman', 'new york',
times, serif; font-size: 12pt;"> <font size="2"
face="Arial"> ----- Mensaje reenviado -----<br>
<b><span style="font-weight:bold;"></span></b></font>
<div>
<div class="yiv820262508MsoNormal"><br>
Dear IPMpack team,</div>
<div class="yiv820262508MsoNormal"> </div>
....
<div class="yiv820262508MsoListParagraphCxSpFirst"
style="">2.<span style="font-size: 7pt; font-family:
'Times New Roman';">
</span>The function <b>makePostFecObjs </b>is not
working<b>
when I use </b>Family = c("binomial",……..but it
supposes to works
with binomial: <i>Family : a character
vector containing the names of the families to be
used for the glms, e.g., <b>binomial</b>, poisson,
etc. Again, these
must appear in the order defined by the alphabetical
order of column names
containing "fec"</i></div>
<div class="yiv820262508MsoListParagraphCxSpMiddle"> </div>
<div class="yiv820262508MsoListParagraphCxSpMiddle">fvlist
<- makePostFecObjs(dataf = Sp,
fecNames =c("fec0", "fec1"), </div>
<div class="yiv820262508MsoListParagraphCxSpMiddle">
fecConstants=
data.frame(NA), </div>
<div class="yiv820262508MsoListParagraphCxSpMiddle">
explanatoryVariables = c("size",
"size"), </div>
<div class="yiv820262508MsoListParagraphCxSpMiddle">
Family =
c("binomial", "poisson"), Transform=c("none",
"none"),</div>
<div class="yiv820262508MsoListParagraphCxSpMiddle">
meanOffspringSize=NA,
sdOffspringSize=NA, </div>
<div class="yiv820262508MsoListParagraphCxSpMiddle">
vitalRatesPerOffspringType=data.frame(NA),
burnin=3000, nitt = 5000)</div>
<div class="yiv820262508MsoListParagraphCxSpMiddle"> </div>
<div class="yiv820262508MsoListParagraphCxSpMiddle">Once
I ran the code, I got this message: Error
in MCMCglmm(Formula, data = dataf[!is.na(dataf[,
fecNames[i]]), : </div>
<div class="yiv820262508MsoListParagraphCxSpMiddle">
binomial not a supported distribution</div>
<div class="yiv820262508MsoListParagraphCxSpMiddle"> </div>
<div class="yiv820262508MsoListParagraphCxSpMiddle"> </div>
<div class="yiv820262508MsoListParagraphCxSpMiddle">Thank
for your help.</div>
<div class="yiv820262508MsoListParagraphCxSpMiddle"> </div>
<div class="yiv820262508MsoListParagraphCxSpLast">Maria
Paula</div>
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<div style="font-family: tahoma, 'new york', times,
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class="yiv820262508yui_3_2_0_20_133413070878158"
style="font-family: times, serif;"><b><span
style="font-size:13px;">Maria Paula
Balcázar-Vargas</span><br>
<span style="font-size:10px;">Post-Doc</span></b><span
style="font-size:x-small;"><br>
</span></span></div>
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style="font-family: times, serif; font-size: 10px;">Instituut
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