Stationary Linear Models
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Documentation for package ‘slm’ version 1.2.0
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 |