person("Sophie", "Arnaud-Haond", email = "sohie.arnaud@ifremer.fr", role = "aut"),
person("Diane", "Bailleul", email = "diane.bailleul@gmail.com", role = c("aut", "cre")),

Title: Access your Coletum's Data from API
person("André", "Smaniotto", , "smaniotto@geosapiens.com.br", c("aut", "cre")),
person("GeoSapiens", role = c("cph", "fnd"))
Description: Get your data (forms, structures, answers) from Coletum
<https://coletum.com> to handle and analyse.

person("Marcelo", "Magnani", , "marcelo@geosapiens.com.br", "aut"),
person("Rodrigo", "Sant'Ana", , "oc.rodrigosantana@gmail.com", "aut"),

Packaged: 2018-07-02 18:03:07 UTC; geosapiens

Packaged: 2018-10-29 13:32:31 UTC; geosapiens

Packaged: 2019-11-05 16:42:02 UTC; Smaniotto

Packaged: 2022-10-20 23:08:21 UTC; andresmaniotto

Description: The packages provides palettes for drawing nice maps

Packaged: Tue Mar 30 17:17:32 2004; neuwirth

Packaged: Sun Apr 11 17:00:20 2004; neuwirth

Packaged: Tue Nov 30 23:08:23 2004; neuwirth

Packaged: Sun Apr 17 11:31:50 2005; neuwirth

Packaged: Sat Jul 14 17:11:21 2007; neuwirth

Packaged: Mon Oct 22 20:34:27 2007; hornik

Authors@R: c(person(given = "Erich", family = "Neuwirth", role = c("aut",
Description: Provides color schemes for maps (and other graphics)
designed by Cynthia Brewer as described at http://colorbrewer2.org

designed by Cynthia Brewer as described at http://colorbrewer2.org.

Description: Solve some conic related problems (intersection of conics with lines and conics, arc length of an ellipse, polar lines, etc.).

c(person("Emanuel", "Huber", , "emanuel.huber@pm.me", role = c("aut", "cre"),
Author: Emanuel Huber [aut, cre] (<https://orcid.org/0000-0002-5528-0412>)

Title: Correct Bias in Estimated Regression Coefficients
Authors@R: c(person("Yu", "Lu", role = c("aut","cre","cph"), email = "yulu@hsph.harvard.edu"),person("Molin", "Wang", role = "aut"))
Description: This function corrects the bias in estimated regression coefficients due to classical additive measurement error (i.e., within-person variation) in logistic regressions under the main study/external reliability study design and the main study/internal reliability study design. The output includes the naive and corrected estimators for the regression coefficients; for the variance estimates of the corrected estimators, the extra variation due to estimating the parameters in the measurement error model is ignored or taken into account. Reference: Carroll RJ, Ruppert D, Stefanski L, Crainiceanu CM (2006) <doi:10.1201/9781420010138>.