Package: dblcens
Title: Compute the NPMLE of distribution from doubly censored data
Version: 1.1
Author: Mai Zhou, Li Lee, Kun Chen.
Description: Use EM algorithm to compute the NPMLE of CDF and also the two
censoring distributions. Data can be doubly censored.
You can also specify a constraint, it will return
the constrained NPMLE and the -2log likelihood ratio.
This can be used to test the hypothesis and find confidence
interval for F(K) via empirical likelihood ratio theorem.
Influence function may be calculated (but slow).
Maintainer: Mai Zhou <mai@ms.uky.edu>
License: GPL2

Title: Discrete Boosting Logistic Regression
Description: Trains logistic regression model by discretizing continuous variables via gradient boosting approach. The proposed method tries to achieve a tradeoff between interpretation and prediction accuracy for logistic regression by discretizing the continuous variables. The variable binning is accomplished in a supervised fashion. The model trained by this package is still a single
logistic regression model, but not a sequence of logistic regression models. The fitted model
object returned from the model training consists of two tables. One table is used to give the
boundaries of bins for each continuous variable as well as the corresponding coefficients,
and the other one is used for discrete variables. This package can also be used for binning
continuous variables for other statistical analysis.
Imports: data.table (>= 1.9.6), xgboost (>= 0.6-4), CatEncoders (>=

Title: Distance-based measures of spatial structures
Author: Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech
Description: This package allows simple computation of a full set of
spatial statistic functions of distance, including classical
ones (Ripley's K and others) and more recent onces used by
spatial economists (Duranton and Overman's Kd, Marcon and
Puech's M). It relies on spatstat for core calculation.
Packaged: 2012-11-14 21:51:56 UTC; Eric.Marcon

Packaged: 2012-12-04 23:31:32 UTC; Eric.Marcon