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LMfilteR (version 0.1.3.1)

Filter Methods for Parameter Estimation in Linear and Non Linear Regression Models

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.

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Version

Install

install.packages('LMfilteR')

Monthly Downloads

245

Version

0.1.3.1

License

GPL (>= 2)

Maintainer

Christian Llano Robayo

Last Published

February 2nd, 2023

Functions in LMfilteR (0.1.3.1)

PF_lm_ss

Parameter Estimation Of Linear Regression Using Particle Filters With Simple Sampling
PF_lm

Parameter Estimation Of Linear Regression Using Particle Filters
EPF_logist_compl

Parameter Estimation Of Logistic Linear Models Using Evolutionary Particle Filters (EPF) Method
EPF_L_compl

Parameter Estimation Of Linear Models Using Evolutionary Particle Filters (EPF) Method