Smoothing by Adaptive Shrinkage

Documentation for package ‘smashr’ version 1.3-12

smashr-package	smashr: Smoothing using Adaptive SHrinkage in R
glm.approx	Model fitting using weighted least squares or a GLM approach.
reflect	Reflect and extend a vector.
reverse.pwave	Reverse wavelet transform a set of probabilities in TItable format for Poisson data.
sd_estimate_gasser_etal	Estimate homoskedastic standard deviation from nonparamatric regression.
smash	Estimate the underlying mean or intensity function from Gaussian or Poisson data, respectively.
smash.gaus	Estimate underlying mean function from noisy Gaussian data.
smash.poiss	Estimate the underlying intensity for Poisson counts.
smashr	smashr: Smoothing using Adaptive SHrinkage in R
ti.thresh	TI thresholding with heteroskedastic errors.
treas	Three-month treasury bill data.