Title: Conditional logistic regression: A two-step estimation method
Author: Radu V. Craiu, Thierry Duchesne, Daniel Fortin and Sophie
Description: Conditional logistic regression with longitudinal follow
up and individual-level random coefficients: A stable and

Collate: 'Ts.estim.R' 'TwoStepCLogit.R' 'ddim.R' 'internal.R'
Packaged: 2012-09-17 20:25:07 UTC; Sophie Baillargeon

Packaged: 2013-06-11 18:31:53 UTC; Sophie Baillargeon

Author: Radu V. Craiu, Thierry Duchesne, Daniel Fortin and Sophie Baillargeon
Description: Conditional logistic regression with longitudinal follow up and
individual-level random coefficients: A stable and efficient
Packaged: 2014-10-24 12:34:10 UTC; Sophie Baillargeon

Title: Conditional Logistic Regression: A Two-Step Estimation Method
Packaged: 2015-12-07 16:12:34 UTC; Sophie Baillargeon

Packaged: 2016-03-19 23:54:53 UTC; Sophie Baillargeon

Packaged: 2012-07-18 15:33:53 UTC; Sophie Baillargeon

Title: Estimation of the Weights Attached to the Two-Way Fixed Effects
Estimates the weights and measure of robustness to treatment effect heterogeneity attached to two-way fixed effects regressions.
Clément de Chaisemartin, Xavier D'Haultfœuille (2020) <DOI: 10.1257/aer.20181169>.
Imports: dplyr (>= 1.0.0), fixest (>= 0.6.0), stringr, stats, estimatr,
Packaged: 2021-05-14 04:52:09 UTC; sicongfeng

Title: Additiv Two-Way Hazards Modelling of Right Censored Survival Data
in an additiv two-way hazard model. Nonparametric penalized spline (p-spline)
fitting is proposed. As a spline basis truncated polynomial functions are chosen.
Packaged: Wed Jul 19 13:54:44 2006; pkhomski

Packaged: Tue Jul 25 12:27:22 2006; pkhomski

Package: TwoWaySurvival
Title: Additiv Two-Way Hazards Modelling of Right Censored Survival Data
Version: 2.0
Author: Pavel Khomski <pkhomski@wiwi.uni-bielefeld.de>
Description: The package offers a fitting of smooth varying coefficients in an additiv two-way hazard model.
Nonparametric penalized spline (p-spline) fitting is proposed.
Two alternativ models can be analized. In the first one a non.periodic calender time, like the calender yaer, is considered
as a second time scale (additionaly to the survival time) and as a spline basis truncated polynomial functions are chosen.
In the second model a periodic time scale, like a season of year, is additionaly considered and as a spline basis the b-splines
are selected.
Maintainer: Pavel Khomski <pkhomski@wiwi.uni-bielefeld.de>
Depends: splines
License: GPL version 2 or newer
Packaged: Sat Oct 28 15:22:06 2006; pkhomski