edian is 0.50 quantile regression).
Bassett et al. 2002. Quantile models and estimators for data analysis.
Metrika 55: 17-26. (describes weighted QR for survey of school
characteristics and student achievement scores).
Brian
Brian S. Cade, PhD
U. S. Geological Survey
Fort Collins Science C
to estimate medians (minimizes and objective function) and thus
might require less computing time on a large data set.
Brian
Brian S. Cade, PhD
U. S. Geological Survey
Fort Collins Science Center
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8818
email: brian_c...@usgs.gov
tel: 970 226
tic regression. I'm guessing that the hurdle model as a two-stage
model is using a logistic regression predicting the probability of 1,
hence the reversed signs of the estimates in the logistic regression
portion of the model.
Brian
Brian S. Cade, PhD
U. S. Geological Survey
Fort Collins
local regions of the predictor space, then you might want to
check out Stef van Buuren's work on worm plots to diagnose fit in quantile
regression. Don't remember where he published this but his email is
stef.vanbuu...@tno.nl
Brian
Brian S. Cade, PhD
U. S. Geological Survey
Fort
to specifiy the degree of polynomial
and number and location of knots.
Brian
Brian S. Cade, PhD
U. S. Geological Survey
Fort Collins Science Center
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8818
email: brian_c...@usgs.gov
tel: 970 226-9326
From:
Jonathan Greenberg
To:
"
the plot.rqs() function.
Brian
Brian S. Cade, PhD
U. S. Geological Survey
Fort Collins Science Center
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8818
email: brian_c...@usgs.gov
tel: 970 226-9326
From:
user1234
To:
r-help@r-project.org
Date:
10/05/2012 06:46 AM
Subject:
Re: [R
rtup - Warning message:
unable to restore saved data in C:\CADESTUFF\DATA\BarryNoon\.RData
>
Brian
Brian S. Cade, PhD
U. S. Geological Survey
Fort Collins Science Center
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8818
email: brian_c...
Just noticed that I get a similar error about object 'kronecker' in
"Matrix" package when trying to load "lme4". So this is a more pervasive
problem.
Brian
Brian S. Cade, PhD
U. S. Geological Survey
Fort Collins Science Center
2150 Centre Ave., Bldg. C
Fort
and, thus, in the scale you are expecting.
Brian
Brian S. Cade, PhD
U. S. Geological Survey
Fort Collins Science Center
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8818
email: brian_c...@usgs.gov
tel: 970 226-9326
From:
"John Sorkin"
To:
, "Kenneth Frost"
Date:
Does anyone have code for computing the standard error of the predicted
mean count from a zero-inflated Poisson regression model estimated by the
zeroinfl() function from the pscl package (and yes, we've checked with A.
Z. already)?
Thank you
Brian
Brian S. Cade, PhD
U. S. Geological S
re statistic will be reasonable and
is irrelevant if you calculate your probabilities by exact enumeration of
all permutations.
Brian
Brian S. Cade, PhD
U. S. Geological Survey
Fort Collins Science Center
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8818
email: brian_c...@usgs.gov
As a follow-up to Greg's suggested graphical presentation, it seems like
the Vuong test is sometimes used to compare fits of non nested models.
Brian
Brian S. Cade, PhD
U. S. Geological Survey
Fort Collins Science Center
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8818
email: br
sums of squares for ls regression).
Brian
Brian S. Cade, PhD
U. S. Geological Survey
Fort Collins Science Center
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8818
email: brian_c...@usgs.gov
tel: 970 226-9326
From:
Andrew Miles
To:
Mark Leeds
Cc:
r-help@r-project.org
Date:
05/31/2012
Using tau = -1 is causing rq() to try and estimate all possible quantiles
and store the results. With 11253 observations this would be a formidable
feat. Try estimating the model with say tau = 1:99/100 to give a more
tractable number of estimates.
Brian
Brian S. Cade, PhD
U. S
estimate.
Brian
Brian S. Cade, PhD
U. S. Geological Survey
Fort Collins Science Center
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8818
email: brian_c...@usgs.gov
tel: 970 226-9326
From:
Steven R Corsi
To:
r-help@r-project.org
Date:
07/21/2011 04:04 PM
Subject:
[R] Quantreg-rq
citations with details on the test statistics). So this comparison
corresponds to the typical linear model hypothesis of a set of parameters
equaling zero. I prefer the rankscore test if sample sizes are not too
large (e.g., <5,000).
Brian
Brian S. Cade, PhD
U. S. Geological Survey
F
, etc).
Brian
Brian S. Cade, PhD
U. S. Geological Survey
Fort Collins Science Center
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8818
email: brian_c...@usgs.gov
tel: 970 226-9326
From:
Bert Gunter
To:
Jessica Streicher
Cc:
r-help@r-project.org
Date:
08/13/2012 09:28 AM
Subject:
Re
P (
we're in the process of porting it to an R package but it will be several
months before its ready to go). There are versions of MRPP (less
complete) available in the vegan package for R, but I don't know whether
it will do the randomized block variant required for Cohen's
onal bouts on wild horse
behavior. So is weights not really yet implemented or am I missing
something?
m2.wt<- lmer(HD_RATE ~ NUM_PAIR +
(NUM_PAIR|HMA),data=out2.5,weights=HOURS/max(HOURS),
contrasts=list(NUM_PAIR="contr.treatment"),family=gaussian)
Brian
Brian S. Cade, PhD
2007. Springer) indicates that
these algorithms were only efficient for <= 5 conditional loops so 2x2,
3x2, 4x2, 5x2, 6x2, 3x3, and 2x2x2 were feasible back in the 1990's. I'm
not sure whether more recent computing capability permits larger tables
now.
Brian
Brian S. Cade
U. S. Geol
Well at a minimum V4 and V6 (used in lm()) are not the same in these two
data sets. Not sure why but there it is.
Brian
Brian S. Cade
U. S. Geological Survey
Fort Collins Science Center
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8818
email: [EMAIL PROTECTED]
tel: 970 226-9326
e
e might be a solution but I've yet to
find it. Any suggestions would be welcome.
Brian
Brian S. Cade
U. S. Geological Survey
Fort Collins Science Center
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8818
email: [EMAIL PROTECTED]
tel: 970 226-9326
[[alternative HTML version
ted quantile estimates.
Brian
Brian S. Cade, PhD
U. S. Geological Survey
Fort Collins Science Center
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8818
email: [EMAIL PROTECTED]
tel: 970 226-9326
sj <[EMAIL PROTECTED]>
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10/07/2008 12:38 PM
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