Title: Simultaneous CIs for Ratios of Means of Log-Normal Populations
Description: Construct the simultaneous confidence intervals for
ratios of means of Log-normal populations with zeros. It also has a Python module that do the same thing,
and can be applied to multiple comparisons of parameters of any k mixture distributions. And we provide four methods,
the method based on generalized pivotal quantity with order statistics and the quantity based on Wilson by Li et al. (2009) <doi:10.1016/j.spl.2009.03.004> (GPQW), and the methods based on
generalized pivotal quantity with order statistics and the quantity based on Hannig (2009) <doi:10.1093/biomet/asp050> (GPQH). The other two methods are
based on two-step MOVER intervals by Amany H, Abdel K (2015) <doi:10.1080/03610918.2013.767911>. We deduce Fiducial generalized pivotal two-step MOVER intervals based on
Wilson quantity (FMW) and based on Hannig's quantity (FMWH). All these approach you can find in the paper of us which it has been submitted.
Packaged: 2018-01-18 18:07:26 UTC; Administrator

Description: The main function of this package is called `analyze'.
This function is used to apply the LNNMV*, LNNGV, LN3, LN3MV*,
or LN3GV methods (Lund and Nettleton, 2011), which are
extensions and modifications of the LNN and LNNMV methods used

Title: LogNormal Response Time Item Response Theory Models
Author: Jean-Paul Fox, Rinke Klein Entink, Konrad Klotzke
Description: Allows the simultaneous analysis of responses and response times in an Item Response Theory (IRT) modelling framework. Parameter estimation is done with a MCMC algorithm. LNIRT replaces the package CIRT, which was written by Rinke Klein Entink. For reference, see the paper by Fox, Klein Entink and Van der Linden (2007), "Modeling of Responses and Response Times with the Package cirt", Journal of Statistical Software, <doi:10.18637/jss.v020.i07>.

Description: Allows the simultaneous analysis of responses and response times in an Item Response Theory (IRT) modelling framework. Supports covariates for item and person (random) parameters. Parameter estimation is done with a MCMC algorithm. LNIRT replaces the package CIRT, which was written by Rinke Klein Entink. For reference, see the paper by Fox, Klein Entink and Van der Linden (2007), "Modeling of Responses and Response Times with the Package cirt", Journal of Statistical Software, <doi:10.18637/jss.v020.i07>.