t;r-help@r-project.org"
Subject: Re: [R] growth curve estimation
Message-ID:
<33d76d77e9ac4b438da38b348ed6890d0b90b...@email.ktkdom.pte.hu>
Content-Type: text/plain; charset="iso-8859-2"
Dear Vito, Robert and David,
thank you for your replies, although I made some step
_
Feladó: David Winsemius [dwinsem...@comcast.net]
Küldve: 2013. december 9. 21:40
To: Dániel Kehl
Cc: r-help@r-project.org
Tárgy: Re: [R] growth curve estimation
On Dec 8, 2013, at 7:45 AM, Dániel Kehl wrote:
> Dear Community,
>
> I am struggling with a growth curve e
On Dec 8, 2013, at 7:45 AM, Dániel Kehl wrote:
> Dear Community,
>
> I am struggling with a growth curve estimation problem. It is a classic BMI
> change with age calculation. I am not an expert of this field but have some
> statistical experience in other fields.
> Of course I started reading
Dear Daniel,
There are several papers which use gamlss for centile estimation.
See www.gamlss.org/ and click MORE ON GAMLSS, Books & Articles.
In particular Rigby and Stasinopoulos (2004, 2005, 2006, 2013)
and Stasinopoulos and Rigby (2007).
m3 <- gamlss(BMI~age, family=BCT, data=adatok_f
dear Daniel,
yet another package performing growth modelling is quantregGrowth. It
uses quantile regressions with B-splines and quadratic penalties to
ensure flexible estimation with additional noncrossing and monotonicity
(optional) constraints.
The paper underlying the package is here:
htt
Dear Community,
I am struggling with a growth curve estimation problem. It is a classic BMI
change with age calculation. I am not an expert of this field but have some
statistical experience in other fields.
Of course I started reading classical papers related to the topic and
understood the co
6 matches
Mail list logo
