widals: Weighting by Inverse Distance with Adaptive Least Squares for Massive Space-Time Data

Fit, forecast, predict massive spacio-temporal data

Install the latest version of this package by entering the following in R:
install.packages("widals")
AuthorDave Zes
Date of publication2014-03-03 07:42:17
MaintainerDave Zes <zesdave@gmail.com>
LicenseGPL (>= 2)
Version0.5.4

View on CRAN

Functions

applystnd.Hs Man page
applystnd.Hst.ls Man page
create.rm.ndx.ls Man page
crispify Man page
distance Man page
dlog.norm Man page
fun.load Man page
fun.load.hals.a Man page
fun.load.hals.fill Man page
fun.load.widals.a Man page
fun.load.widals.fill Man page
fuse.Hst.ls Man page
H.als.b Man page
Hals.fastcv.snow Man page
Hals.ses Man page
Hals.snow Man page
H.Earth.solar Man page
Hst.sumup Man page
load.Hst.ls.2Zs Man page
load.Hst.ls.Z Man page
MSS.snow Man page
O3 Man page
rm.cols.Hst.ls Man page
stnd.Hs Man page
stnd.Hst.ls Man page
stnd.Ht Man page
subsetsites.Hst.ls Man page
unif.mh Man page
unload.Hst.ls Man page
widals Man page
widals-package Man page
widals.predict Man page
widals.snow Man page
Z.clean.up Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.