Title: Fixed Effects Logistic Model with High-Dimensional Parameters
person(given = "Kevin(Zhi)", family = "He", role = c("aut"), email = "kevinhe@umich.edu"),
person(given = "Wenbo", family = "Wu", role = c("aut"), email = "wenbowu@umich.edu"),
person(given = "Michael", family = "Kleinsasser", role = c("cre"), email = "mkleinsa@umich.edu"))
Description: A structured profile likelihood algorithm for the logistic fixed effects model and an approximate expectation maximization (EM) algorithm for the logistic mixed effects model. Based on He, K., Kalbfleisch, J.D., Li, Y. and Li, Y. (2013) <doi:10.1007/s10985-013-9264-6>.

Depends: R (>= 2.12.0), methods, graphics, R2HTML, tcltk, tkrplot
Description: Functions, S4 classes/methods and a graphical user
interface (GUI) to substantiate freedom from disease using a
modified hypergeometric function (see Cameron and Baldock,
1997). Herd sensitivities are computed according to sampling
strategies "individual sampling" or "limited sampling" (see M.
Ziller, T. Selhorst, J. Teuffert, M. Kramer and H. Schlueter,
2002). Methods to compute the a-posteriori alpha-error are

Depends: R (>= 2.10), methods, graphics, tcltk, tkrplot, R2HTML
interface (GUI) to design surveys to substantiate freedom from
disease using a modified hypergeometric function (see Cameron
and Baldock, 1997). Herd sensitivities are computed according
to sampling strategies "individual sampling" or "limited
sampling" (see M. Ziller, T. Selhorst, J. Teuffert, M. Kramer
and H. Schlueter, 2002). Methods to compute the a-posteriori
alpha-error are implemented. Risk-based targeted sampling is

Description: Functions, S4 classes/methods and a graphical user interface (GUI) to design surveys to substantiate freedom from disease using a modified hypergeometric function (see Cameron and Baldock, 1997). Herd sensitivities are computed according to sampling strategies "individual sampling" or "limited sampling" (see M. Ziller, T. Selhorst, J. Teuffert, M. Kramer and H. Schlueter, 2002). Methods to compute the a-posteriori alpha-error are implemented. Risk-based targeted sampling is supported.