R: Smoothing by Adaptive Shrinkage

# Smoothing by Adaptive Shrinkage

## Documentation for package ‘smashr’ version 1.3-12

- DESCRIPTION file
- Code demos. Use demo() to run them.
- Package README

## Help Pages

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.