Package: LMfilteR
Type: Package
Title: Filter Methods for Parameter Estimation in Linear and Non Linear
        Regression Models
Version: 0.1.3.1
Authors@R: c(
  person("Christian", "Llano Robayo", email = "info@cecareus.com", role = c("aut","cre")),
  person("Nazrul", "Shaikh", email = "nazrul@cecareus.com", role = "aut"),
  person("Pegu", "Nilutpal", email = "nilutpal.pegu@gmail.com", role = "aut")
  )
Description: 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.
License: GPL (>= 2)
Imports: MASS (>= 7.3-50), stats (>= 3.5.1)
Depends: R (>= 3.6.0)
Encoding: UTF-8
BugReports: https://github.com/ChrissCod/LMfilteR/issues
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-02-01 02:31:01 UTC; codcp
Author: Christian Llano Robayo [aut, cre],
  Nazrul Shaikh [aut],
  Pegu Nilutpal [aut]
Maintainer: Christian Llano Robayo <info@cecareus.com>
Repository: CRAN
Date/Publication: 2023-02-02 09:10:06 UTC
Built: R 4.6.0; ; 2026-04-25 20:04:20 UTC; unix
