I have no idea, but Google pointed me to this
https://cran.r-project.org/web/packages/subscore/index.html
Hth
Ulrik
"Hyunju Kim" schrieb am Di., 15. Mai 2018, 07:21:
>
>
>
> Hello,
>
>
>
> I want to compute Wainer et al's augmented subscore(2001) using IRT but I
>
Hello,
I want to compute Wainer et al's augmented subscore(2001) using IRT but I
can't find any packages or relevant code.
There is a 'subscore' package in R, but I think it only gives functions to
calculate augmented subscores using CTT(classical test theory).
Is there other package
Hi Christofer,
it works for me. Perhaps you need up update a package?
Best wishes,
Ulrik
> sessionInfo()
R version 3.4.4 (2018-03-15)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1
LAPACK:
Hi,
I use Quandl package to download data from Quandl https://www.quandl.com
Today when I tried to download data from there, I received below error :
> Quandl('LME/PR_CO')
Error in curl::curl_fetch_memory(url, handle = handle) :
gnutls_handshake() failed: An unexpected TLS packet was
Please keep your posts "on-list". You are much more likely to get a
useful answer that way. There are many others on the list whose
knowledge and insight are far greater than mine.
I have therefore cc-ed the list in this reply.
On 14/05/18 21:48, Soufianou Abou wrote:
Thank you for
hello
> p(X ≤ V) diffetente zero
> look this
> Let X and V be two independent random variables with unknow
> distribution functions (d.f.’s) F and G respectively. Under truncation from
>the right we observe (X, Z) only if X ≤ Z
> I simulate X and Z and I use Lynden bell estimation
> I need now
Estimad@s Errer@s,
He descargado unos raster de aquí:
https://disc.gsfc.nasa.gov/datasets/TRMM_3B42_Daily_V7/summary
Pero están girados respecto a las coordenadas de un mapa normal.
Eso lo he resuelto así:
lluvia.ori<-raster("3B42_Daily.19980101.7.nc4.nc4")
Estimad@s Errer@s,
He descargado unos raster de aquí:
https://disc.gsfc.nasa.gov/datasets/TRMM_3B42_Daily_V7/summary
Pero están girados respecto a las coordenadas de un mapa normal.
Eso lo he resuelto así:
lluvia.ori<-raster("3B42_Daily.19980101.7.nc4.nc4")
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