Package: lllcrc
Type: Package
Title: Local Log-linear Models for Capture-Recapture
Version: 1.2
Date: 2014-10-04
Author: Zach Kurtz
Maintainer: Zach Kurtz <zkurtz@gmail.com>
Description: Applies local log-linear capture-recapture models (LLLMs) for
closed populations, as described in the doctoral thesis of Zachary Kurtz.
The method is relevant when there are 3-5 capture occasions, with auxiliary
covariates available for all capture occasions.  As part of estimating the
number of missing population units, the method estimates the "rate of
missingness" as it varies over the covariate space.  In addition,
user-friendly functions are provided to recreate (approximately) the method
of Zwane and van der Heijden (2004), which applied the VGAM package
in a way that is closely related to LLLMs.
License: GPL-2
Imports: data.table, combinat, VGAM, plyr
Packaged: 2014-10-05 20:18:49 UTC; zach
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-10-06 00:53:14

Authors@R: c(person("Rosineide", "Fernando da Paz", email = "rfpaz2@gmail.com", role = c("aut", "cre")),person("Jorge Luís", "Bazán", role = "ctb"))
Description: Density, distribution function, quantile function and random generation for the L-Logistic distribution with parameters m and b. The parameter m is the median of the distribution.
Author: Rosineide Fernando da Paz [aut, cre],

Description: Density, distribution function, quantile function and random generation for the L-Logistic distribution with parameters m and phi. The parameter m is the median of the distribution.

Title: Add standardized regression coefficients to lm objects
Description: This package adds standardized regression coefficients to objects created by lm. It also overwrites the S3 methods print, summary and coef with additional argument standardized.

Title: Add Standardized Regression Coefficients to lm-Objects
Description: Adds standardized regression coefficients to objects created by lm. Also extends the S3 methods print, summary and coef with additional boolean argument standardized.