Man pages for zrxing/smash
Smoothing by 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... |
| sd_estimate_gasser_etal | Estimate homoskedastic standard deviation from nonparamatric... |
| smash | Estimate the underlying mean or intensity function from... |
| 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. |
| wls.mb | Returns a list with elements "coef", "se", "wrse2" if g is... |
