Title: Ecological Inference by Linear Programming under Homogeneity
Description: Provides a bunch of algorithms based on linear programming for estimating RxC ecological contingency tables (vote transitions matrices) using exclusively aggregate results from voting units under the homogeneity hypothesis. References: Romero, Pavia, Martin and Romero (2020) <doi:10.1080/02664763.2020.1804842>. Pavia and Romero (2021) Improving estimates accuracy of voter transitions. Two new algorithms for ecological inference based on linear programming.
Packaged: 2021-06-01 08:11:54 UTC; Jose M Pavia
Author: Jose M. Pavía [aut, cre] (<https://orcid.org/0000-0002-0129-726X>),

Packaged: 2021-06-03 19:01:18 UTC; Jose M Pavia

Description: Provides a bunch of algorithms based on linear programming for estimating,
under the homogeneity hypothesis, RxC ecological contingency tables
(or vote transition matrices) using exclusively aggregate
Pavía and Romero (2021b) Symmetry estimating R×C vote transfer matrices from aggregate data.
Imports: stats, lpSolve, Rsymphony (>= 0.1-30)
Packaged: 2021-12-12 19:15:13 UTC; Jose M Pavia
Author: Jose M. Pavia [aut, cre] (<https://orcid.org/0000-0002-0129-726X>),
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>

Packaged: 2021-12-21 00:03:55 UTC; Jose M Pavia

Description: Provides a bunch of algorithms based on linear programming for estimating
RxC ecological contingency tables (or vote transition matrices) using exclusively aggregate
results from voting units under the homogeneity hypothesis. References:
Pavia and Romero (2021b) Symmetry estimating R×C vote transfer matrices from aggregate data.
Depends: R (>= 3.5.0), lpSolve, Rsymphony
Packaged: 2021-09-07 09:11:22 UTC; Jose M Pavia

Suggests: ggplot2, scales, Rsymphony (>= 0.1-30)
Packaged: 2022-03-21 08:37:47 UTC; Jose M Pavia

Title: Local polynomial esitmators of intensity function or its
Description: Estimates the intensity function or its derivative of a
give a given order using the local polynomial method

Title: Local polynomial estimators of intensity function or its
Description: Estimates the intensity function, or its derivative of a given order, of a multiplicative counting process using the local polynomial method