Package: LMfilteR 0.1.3.1
Christian Llano Robayo
LMfilteR: Filter Methods for Parameter Estimation in Linear and Non Linear Regression Models
We present a method based on filtering algorithms to estimate the parameters of linear, i.e. the coefficients and the variance of the error term. The proposed algorithms make use of Particle Filters following Ristic, B., Arulampalam, S., Gordon, N. (2004, ISBN: 158053631X) resampling methods. Parameters of logistic regression models are also estimated using an evolutionary particle filter method.
Authors:
LMfilteR_0.1.3.1.tar.gz
LMfilteR_0.1.3.1.zip(r-4.5)LMfilteR_0.1.3.1.zip(r-4.4)LMfilteR_0.1.3.1.zip(r-4.3)
LMfilteR_0.1.3.1.tgz(r-4.4-any)LMfilteR_0.1.3.1.tgz(r-4.3-any)
LMfilteR_0.1.3.1.tar.gz(r-4.5-noble)LMfilteR_0.1.3.1.tar.gz(r-4.4-noble)
LMfilteR_0.1.3.1.tgz(r-4.4-emscripten)LMfilteR_0.1.3.1.tgz(r-4.3-emscripten)
LMfilteR.pdf |LMfilteR.html✨
LMfilteR/json (API)
NEWS
| # Install 'LMfilteR' in R: |
| install.packages('LMfilteR', repos = c('https://chrisscod.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/chrisscod/lmfilter/issues
Last updated 2 years agofrom:99a51dd79f. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win | OK | Nov 01 2024 |
| R-4.5-linux | OK | Nov 01 2024 |
| R-4.4-win | OK | Nov 01 2024 |
| R-4.4-mac | OK | Nov 01 2024 |
| R-4.3-win | OK | Nov 01 2024 |
| R-4.3-mac | OK | Nov 01 2024 |
Exports:EPF_L_complEPF_logist_complPF_lmPF_lm_ss
Dependencies:MASS
