R: Stationary Linear Models

# Stationary Linear Models

## Documentation for package ‘slm’ version 1.2.0

- DESCRIPTION file

## Help Pages

slm-package | slm: A package for stationary linear models
confint.slm | Confidence intervals for the Model Parameters
cov_AR | Covariance estimation by AR fitting
cov_efromovich | Spectral density estimation: Efromovich method
cov_kernel | Kernel estimation: bootstrap method
cov_matrix_estimator | Covariance matrix estimator for slm object
cov_method | Methods to estimate the autocovariances of a process
cov_select | Covariances Selection
cov_spectralproj | Data-driven spectral density estimation
generative_model | Some linear model
generative_process | Some stationary processes
plot.slm | Plot.slm
predict.slm | Predict for slm object
Rboot | Risk estimation for a tapered covariance matrix estimator via bootstrap method
rectangle | Rectangular kernel
shan | PM2.5 Data of Shanghai
slm | Fitting Stationary Linear Models
slm-class | slm class
slm.class | slm class
summary.slm | Summarizing Stationary Linear Model Fits
trapeze | Trapeze kernel
triangle | Kernel triangle
vcov.slm | Calculate Variance-Covariance Matrix for a Fitted Model Object of class slm