Last data update: 2014.03.03

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Results 1 - 7 of 7 found.
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lctools : Local Correlation, Spatial Inequalities, Geographically Weighted Regression and Other Tools

Package: lctools
Version: 0.2-4
Date: 2015-12-19
Type: Package
Title: Local Correlation, Spatial Inequalities, Geographically Weighted
Regression and Other Tools
Author: Stamatis Kalogirou [aut, cre]
Maintainer: Stamatis Kalogirou <skalo@hua.gr>
Depends: R (>= 3.2.1), reshape (>= 0.8.5), weights (>= 0.80), pscl (>=
1.4.9), MASS (>= 7.3-43)
Description: The main purpose of lctools is to provide researchers and educators with easy-to-learn
user friendly tools for calculating key spatial statistics and to apply simple as well as
advanced methods of spatial analysis in real data. These include: Local Pearson and
Geographically Weighted Pearson Correlation Coefficients, Spatial Inequality Measures
(Gini, Spatial Gini, LQ, Focal LQ), Spatial Autocorrelation (Global and Local Moran's I),
several Geographically Weighted Regression techniques and other Spatial Analysis tools
(other geographically weighted statistics). This package also contains functions for
measuring the significance of each statistic calculated, mainly based on Monte Carlo simulations.
License: GPL (>= 2)
VignetteBuilder: knitr
URL: http://gisc.gr
Suggests: knitr, sp
NeedsCompilation: no
Packaged: 2015-12-20 01:59:01 UTC; Stamatis
Repository: CRAN
Date/Publication: 2015-12-20 09:28:10

● Data Source: CranContrib
● 0 images, 27 functions, 2 datasets
● Reverse Depends: 0

emIRT : EM Algorithms for Estimating Item Response Theory Models

Package: emIRT
Type: Package
Title: EM Algorithms for Estimating Item Response Theory Models
Version: 0.0.6
Date: 2016-03-14
Author: Kosuke Imai <kimai@princeton.edu>, James Lo <jameslo@princeton.edu>, Jonathan Olmsted <jpolmsted@gmail.com>
Maintainer: James Lo <jameslo@princeton.edu>
Description: Various Expectation-Maximization (EM) algorithms are implemented for item response theory
(IRT) models. The current implementation includes IRT models for binary and ordinal
responses, along with dynamic and hierarchical IRT models with binary responses. The
latter two models are derived and implemented using variational EM. Subsequent edits
also include variational network and text scaling models.
License: GPL (>= 3)
Depends: R (>= 2.10), pscl (>= 1.0.0), Rcpp (>= 0.10.6)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2016-03-22 05:38:16 UTC; jameslo
Repository: CRAN
Date/Publication: 2016-03-22 23:47:27

● Data Source: CranContrib
● 0 images, 10 functions, 5 datasets
● Reverse Depends: 0

BSGS : Bayesian Sparse Group Selection

Package: BSGS
Type: Package
Title: Bayesian Sparse Group Selection
Version: 2.0
Date: 2015-06-23
Author: Kuo-Jung Lee and Ray-Bin Chen
Maintainer: Kuo-Jung Lee <kuojunglee@mail.ncku.edu.tw>
Description: The integration of Bayesian variable and sparse group variable selection approaches for regression models.
Depends: R (>= 3.1.1), MASS, compiler, pscl, plyr, batchmeans
License: GPL-2
LazyLoad: yes
Repository: CRAN
NeedsCompilation: no
Packaged: 2015-06-23 20:13:01 UTC; kjlee
Date/Publication: 2015-06-24 01:07:18

● Data Source: CranContrib
● 0 images, 12 functions, 0 datasets
● Reverse Depends: 0

anominate : alpha-NOMINATE Ideal Point Estimator

Package: anominate
Type: Package
Title: alpha-NOMINATE Ideal Point Estimator
Version: 0.5
Date: 2014-10-06
Author: Royce Carroll <rcarroll@rice.edu>, Christopher Hare <chare@uga.edu>, Jeffrey B. Lewis <jblewis@ucla.edu>, James Lo <lo@uni-mannheim.de>, Keith T. Poole <ktpoole@uga.edu>, and Howard Rosenthal <hl31@nyu.edu>
Maintainer: Christopher Hare <chare@uga.edu>
Depends: coda, wnominate, oc, pscl, MCMCpack
Description: Fits ideal point model described in Carroll, Lewis, Lo, Poole and Rosenthal, "The Structure of Utility in Models of Spatial Voting," American Journal of Political Science 57(4): 1008--1028.
License: GPL-2
URL: http://www.voteview.com/alphanominate.asp
Packaged: 2014-10-09 01:51:51 UTC; Christopher
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-10-09 14:49:04

● Data Source: CranContrib
● 0 images, 10 functions, 0 datasets
● Reverse Depends: 0

accelmissing : Missing Value Imputation for Accelerometer Data

Package: accelmissing
Type: Package
Title: Missing Value Imputation for Accelerometer Data
Version: 1.0
Date: 2016-03-25
Author: Jung Ae Lee <jungaeleeb@gmail.com>
Maintainer: Jung Ae Lee <jungaeleeb@gmail.com>
Description: Imputation for the missing count values in accelerometer data. The methodology includes both parametric and semi-parametric multiple imputations under the zero-inflated Poisson lognormal model. This package also provides multiple functions to pre-process the accelerometer data previous to the missing data imputation. These includes detecting wearing and non-wearing time, selecting valid days and subjects, and creating plots.
License: GPL (>= 2)
Depends: R (>= 2.10), mice, pscl
Packaged: 2016-03-25 15:23:54 UTC; leeju
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-25 20:00:49

● Data Source: CranContrib
● 0 images, 11 functions, 3 datasets
● Reverse Depends: 0

wnominate : WNOMINATE Roll Call Analysis Software.

Package: wnominate
Version: 0.99
Date: 2014-09-19
Title: WNOMINATE Roll Call Analysis Software.
Author: Keith Poole <ktpoole@uga.edu>, Jeffrey Lewis
<jblewis@ucla.edu>, James Lo <jameslo@princeton.edu> and Royce
Carroll <rcarroll@rice.edu>
Maintainer: James Lo <jameslo@princeton.edu>
Depends: R (>= 2.3.1), pscl (>= 0.59)
Description: Estimates Poole and Rosenthal W-NOMINATE scores from roll
call votes supplied though a 'rollcall' object from package
'pscl'.
License: GPL-2
Repository: CRAN
Date/Publication: 2014-09-23 05:22:19
Packaged: 2014-09-19 23:42:59 UTC; jameslo
NeedsCompilation: yes

● Data Source: CranContrib
● 0 images, 10 functions, 3 datasets
Reverse Depends: 1

oc : OC Roll Call Analysis Software.

Package: oc
Version: 0.95
Date: 2014-09-25
Title: OC Roll Call Analysis Software.
Author: Keith Poole <ktpoole@uga.edu>, Jeffrey Lewis
<jblewis@ucla.edu>, James Lo <jameslo@princeton.edu> and Royce
Carroll <rcarroll@rice.edu>
Maintainer: James Lo <jameslo@princeton.edu>
Depends: R (>= 2.3.1), pscl (>= 0.59)
Description: Estimates Optimal Classification scores from roll call
votes supplied though a 'rollcall' object from package 'pscl'.
License: GPL-2
Repository: CRAN
Date/Publication: 2014-09-26 19:05:36
Packaged: 2014-09-25 23:15:49 UTC; jameslo
NeedsCompilation: yes

● Data Source: CranContrib
● 0 images, 7 functions, 3 datasets
Reverse Depends: 1