Hello,
I would like to analyze quantitative PCR (qPCR) data using R rather
than proprietary softwares.
I can see there are several packages out there, but mostly they
perform relative quantification, while none provide a quantitative
cycle (Cq), or crossing over cycle.
Is there a package that can p
there are ways to implement constraints on parameter estimates in ordinal
logistic regression in R. Here are a few approaches:
The rms package (Regression Modeling Strategies) by Frank Harrell offers the
lrm function which can handle constraints through its penalty parameter, though
it's primar
Hi,
I have below fit with ordinal logistic regression
dat = foreign::read.dta("https://stats.idre.ucla.edu/stat/data/ologit.dta";)
summary(MASS::polr(formula = apply ~ pared + public + gpa, data = dat))
However, instead of obtaining unconstrained estimates of model
parameters, I would like to i
I was thinking about xts and zoo as well!
Thanks!
Erin Hodgess, PhD
mailto: erinm.hodg...@gmail.com
On Tue, Apr 8, 2025 at 12:39 AM Eric Berger wrote:
> If you are writing a new package I don't see why you should restrict
> yourself to S3 or S4 classes.
> Your "new package" can certainly buil
I would use the approach that is most commonly used by my potential user base
unless I can define a clear set of reasons why I should do it differently. If
users will be unable to see the difference, then the decision is entirely up to
me based on ease of programming at all phases (writing, debu
If you are writing a new package I don't see why you should restrict
yourself to S3 or S4 classes.
Your "new package" can certainly build on other packages. (Why not?)
As I wrote in my previous email, if you are dealing with time series
you might want to consider appropriate classes already defined
Às 18:35 de 07/04/2025, Erin Hodgess escreveu:
Hello everyone!
I have an opinion question please. If I’m writing a new package, would you
recommend using S3 or S4 structure, please?
I know I will get lots of opinions, but that’s fine.
Thanks,
Erin
Erin Hodgess, PhD
mailto: erinm.hodg...@gma
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