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:Christian Llano Robayo [aut, cre], Nazrul Shaikh [aut], Pegu Nilutpal [aut]

LMfilteR_0.1.3.1.tar.gz
LMfilteR_0.1.3.1.zip(r-4.7)LMfilteR_0.1.3.1.zip(r-4.6)LMfilteR_0.1.3.1.zip(r-4.5)
LMfilteR_0.1.3.1.tgz(r-4.6-any)LMfilteR_0.1.3.1.tgz(r-4.5-any)
LMfilteR_0.1.3.1.tar.gz(r-4.7-any)LMfilteR_0.1.3.1.tar.gz(r-4.6-any)
LMfilteR_0.1.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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

On CRAN:

Conda:

2.00 score 1 stars 2 scripts 168 downloads 4 exports 1 dependencies

Last updated from:99a51dd79f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK94
source / vignettesOK159
linux-release-x86_64OK96
macos-release-arm64OK163
macos-oldrel-arm64OK186
windows-develOK62
windows-releaseOK61
windows-oldrelOK62
wasm-releaseOK90

Exports:EPF_L_complEPF_logist_complPF_lmPF_lm_ss

Dependencies:MASS