Title: Simultaneous simulation of Q and R mode factor analyses with
Depends: R (>= 2.10), mvoutlier,mgraph,pvclust,cluster,maptools
eigenvectors, loadings, and scores. Input data includes

Description: The qrfactor package simultaneously runs both Q and R  mode factor analyses. The package contains only one function called qrfactor() that can perform PCA, R-mode Factor Analysis, Q-mode Factor Analysis, Simultaneous R- and Q-mode Factor Analysis, Principal Coordinate Analysis, as wells as Multidimensional Scaling  (MDS). Loadings and scores can easily be computed from the  simulation.The plot.qrfactor() function offers several annotated  biplots for all possible combinations of eigenvectors, loadings, and scores. Input data includes shapefiles, tables and dataframe

Title: Quantile Regression Model for Residual Lifetime Using an Induced
Authors@R: c(person("Kyu Hyun", "Kim", email = "kyuhyunkim07@yonsei.ac.kr", role = c("aut", "cre")),
person("Sy Han", "Chiou", role = "aut"))
Description: A collection of functions to fit quantiles regression models for censored residual lifetimes. It provides various options for regression parameters estimation: the induced smoothing approach (smooth), and L1-minimization (non-smooth).  It also implements the estimation methods for standard errors of the regression parameters estimates based on an efficient partial multiplier bootstrap method and robust sandwich estimator. Furthermore, a simultaneous procedure of estimating regression parameters and their standard errors via an iterative updating procedure is implemented (iterative). See Kim, K. (2022) "Smoothed quantile regression for censored residual life", <arXiv:2205.00413>.
Imports: nleqslv, quantreg, stringr, survival, ggplot2, Rcpp
Packaged: 2022-08-27 03:13:42 UTC; kyuhyunkim
Maintainer: Kyu Hyun Kim <kyuhyunkim07@yonsei.ac.kr>

Title: Joint Estimation in Linear Quantile Regression
Depends: R (>= 2.6), stats, graphics, grDevices, quantreg
Description: Joint estimation of quantile specific intercept and slope parameters in a linear regression setting.
Packaged: 2015-07-11 17:26:28 UTC; suryatokdar