Package: RCMinification 1.2

RCMinification: Random Coefficient Minification Time Series Models

Data sets, and functions for simulating and fitting nonlinear time series with minification and nonparametric models.

Authors:L. Han [aut, cre]

# Install 'RCMinification' in R:

install.packages('RCMinification', repos = c('https://spectrumhan.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

BCfireArea - BC Fire Area
BeerVolume - Beer Volume Time Series
FWI - Fire Weather Index Series
Globaltemps - Global Average Temperature Changes
longitudinalAcceleration - Longitudinal Acceleration Measurements on an Air Tanker
nickel - Electroless nickel concentrations

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated 2 years agofrom:8325c1957b. Checks:OK: 3 NOTE: 4. Indexed: yes.

Dependencies:KernSmooth locpol

Help page	Topics
Fit a nonlinear AR1 model using local polynomial regression	ARlocpoly
BC Fire Area	BCfireArea
Beer Volume Time Series	BeerVolume
Fit a nonlinear AR1 model using local polynomial regression via the method of Cheng et al.	ChengTS
Fire Weather Index Series	FWI
Global Average Temperature Changes	Globaltemps
Longitudinal Acceleration Measurements on an Air Tanker	longitudinalAcceleration
Electroless nickel concentrations	nickel
Nonlinear AR1 Simulator	nonlinearAR1.sim
Tailed Exponential and Weibull Random Coefficient Minification Maximum Likelihood Estimation	RCMTmle
Tailed Exponential Random Number Generator	rET
Tatum's Robust Estimate of the Standard Deviation	robustSD
Tailed Exponential and Weibull Random Coefficient Minification Process Simulator	rRCMT
Fit a nonlinear AR1 model using local polynomial regression and data sharpening	sharpARlocpoly