smash: Smash a nested list into a tidy table.

GITHUB
SimonLarsen/smashr: Smash nested lists into tidy data tables.

R: Smash a nested list into a tidy table.
smashR Documentation
Smash a nested list into a tidy table.

smash: Estimate the underlying mean or intensity function from

GITHUB
zrxing/smash: Smoothing by Adaptive Shrinkage in R

smash.gaus or smash.poiss as
appropriate. For details see smash.gaus and
smash.poiss.

smash: Estimate the underlying mean or intensity function from

GITHUB
stephenslab/smashr: Smoothing by Adaptive Shrinkage in R

smash.gaus or smash.poiss as
appropriate. For details see smash.gaus and
smash.poiss.

SMASH: Subclone Multiplicity Allocation and Somatic Heterogeneity

CRAN
SMASH: Subclone Multiplicity Allocation and Somatic Heterogeneity

Package: SMASH
Type: Package
Title: Subclone Multiplicity Allocation and Somatic Heterogeneity

zrxing/smash: Smoothing by Adaptive Shrinkage in R

GITHUB
zrxing/smash: Smoothing by Adaptive Shrinkage in R

Package: smashr
Encoding: UTF-8
Type: Package

Sun-lab/SMASH: Subclone Multiplicity Allocation and Somatic Heterogeneity

GITHUB
Sun-lab/SMASH: Subclone Multiplicity Allocation and Somatic Heterogeneity

Package: SMASH
Type: Package
Title: Subclone Multiplicity Allocation and Somatic Heterogeneity

SMASH_to_wide_table: Converts SMASH (SampleName, Marker, Allele, Size, Height)...

CRAN
simDNAmixtures: Simulate Forensic DNA Mixtures

R: Converts SMASH (SampleName, Marker, Allele, Size, Height)...
const macros = { "\\R": "\\textsf{R}", "\\code

SimonLarsen/smashr: Smash nested lists into tidy data tables.

GITHUB
SimonLarsen/smashr: Smash nested lists into tidy data tables.

Package: smashr
Type: Package
Title: Smash nested lists into tidy data tables.

kkdey/smashtpx: Grade of Membership models with adaptive smoothing on features using SMASH

GITHUB
kkdey/smashtpx: Grade of Membership models with adaptive smoothing on features using SMASH

Package: smashtpx
Title: Grade of Membership models with adaptive smoothing on features using
SMASH

vignettes/test/test_dash_smooth_3.R:

GITHUB
kkdey/dashr: Dirichlet Adaptive Shrinkage (dash) of Compositional data with applications in smoothing

<- dashu(x)
########## smash ############################
smash_out <- smashr::smash.poiss(x

demo/smashr.R:

GITHUB
zrxing/smash: Smoothing by Adaptive Shrinkage in R

# Illustration of Gaussian and Poisson denoising using the "smash"
# function.
library(smashr)

R/get_smash_from_samples.R:

CRAN
simDNAmixtures: Simulate Forensic DNA Mixtures

$mixture$Allele,
Size = s$mixture$Size,
Height = s$mixture$Height)

demo/smashr.R:

GITHUB
stephenslab/smashr: Smoothing by Adaptive Shrinkage in R

# Illustration of Gaussian and Poisson denoising using the "smash"
# function.
library(smashr)

tests/testthat/test_notpowerof2.R:

GITHUB
stephenslab/smashr: Smoothing by Adaptive Shrinkage in R

test_that("not a power of 2 smash has similar results as a power of 2 case",{
#' @title simulate gaussian

README.md:

GITHUB
Sun-lab/SMASH: Subclone Multiplicity Allocation and Somatic Heterogeneity

&label=SMASH" height="80" /></a>
</div>
<!-- badges: start -->

ti.thresh: TI thresholding with heteroskedastic errors

GITHUB
zrxing/smash: Smoothing by Adaptive Shrinkage in R

= "smash",
filter.number = 1,
family = "DaubExPhase",

ti.thresh: TI thresholding with heteroskedastic errors

GITHUB
stephenslab/smashr: Smoothing by Adaptive Shrinkage in R

= "smash",
filter.number = 1,
family = "DaubExPhase",