| Name : R-decon
| |
| Version : 1.3.4
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.12
| Date : 2024-06-14 10:59:16
|
| Group : Development/Libraries/Other
| Source RPM : R-decon-1.3.4-lp153.1.12.src.rpm
|
| Size : 0.18 MB
| |
| Packager : (none)
| |
| Summary : Deconvolution Estimation in Measurement Error Models
|
Description :
A collection of functions to deal with nonparametric measurement error
problems using deconvolution kernel methods. We focus two measurement
error models in the package: (1) an additive measurement error model,
where the goal is to estimate the density or distribution function from
contaminated data; (2) nonparametric regression model with
errors-in-variables. The R functions allow the measurement errors to be
either homoscedastic or heteroscedastic. To make the deconvolution
estimators computationally more efficient in R, we adapt the \"Fast
Fourier Transform\" (FFT) algorithm for density estimation with
error-free data to the deconvolution kernel estimation. Several methods
for the selection of the data-driven smoothing parameter are also
provided in the package. See details in: Wang, X.F. and Wang, B.
(2011). Deconvolution estimation in measurement error models: The R
package decon. Journal of Statistical Software, 39(10), 1-24.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
