Title: Cross-Entropy R Package for Optimization
Author: Tim Benham and Qibin Duan and Dirk P. Kroese and Benoit Liquet
Description: Optimization solver based on the Cross-Entropy method.

Title: Colony Formation Assay: Taking into Account Cellular Cooperation
Description: Cellular cooperation compromises the plating efficiency-based
analysis of clonogenic survival data. This tool provides functions that
enable a robust analysis of colony formation assay (CFA) data in presence
The implemented method has been described
in Brix et al. (2020). (Brix, N., Samaga, D., Hennel, R. et al.
"The clonogenic assay: robustness of plating efficiency-based analysis is
strongly compromised by cellular cooperation." Radiat Oncol 15, 248 (2020).
Power regression for parameter estimation, calculation of survival
fractions, uncertainty analysis and plotting functions are provided.
Packaged: 2020-11-23 07:56:30 UTC; daniel.samaga

Packaged: 2021-06-11 08:06:27 UTC; daniel.samaga

Title: Cause-Specific Framework for Competing-Risk Analysis
Author: Mansour T.A. Sharabiani, Alireza S. Mahani
Description: Functions for combining survival curves of competing risks to produce cumulative incidence
and event-free probability functions, and for summarizing and plotting the results. Survival curves
can be either time-denominated or probability-denominated. Point estimates as well as Bayesian, sample-based
representations of survival can utilize this framework.

Description: Numerical integration of cause-specific survival curves to arrive at cause-specific cumulative incidence functions,
with three usage modes: 1) Convenient API for parametric survival regression followed by competing-risk analysis, 2) API for
CFC, accepting user-specified survival functions in R, and 3) Same as 2, but accepting survival functions in C++.
Imports: Rcpp (>= 0.12.1), abind, survival, doParallel, foreach
Suggests: BSGW, BayesMixSurv, Hmisc, randomForestSRC, RcppArmadillo

Title: Simple Similarity for User-Based Collaborative Filtering Systems
comment = c(ORCID = "0000-0003-1687-1719", "University=Islamic Azad University of Kashan,Kashan,Iran")),
comment = c(ORCID = "0000-0002-4744-2784","University=Islamic Azad University of Kashan,Kashan,Iran")),
comment = c(ORCID = "0000-0001-8895-8501","University=Islamic Azad University of Kashan,Kashan,Iran")))
Maintainer: Farimah Houshmand Nanehkaran <hoshmandcomputer@gmail.com>
Description: A simple, fast algorithm to find the neighbors and similarities of users in user-based filtering systems,
to break free from the complex computation of existing similarity formulas and the ability to solve big data.
Author: Farimah Houshmand Nanehkaran [aut, cre]