Title: Fast Imputation of Missing Values
Description: Alternative implementation of the beautiful 'MissForest' algorithm used to impute
mixed-type data sets by chaining random forests, introduced by Stekhoven, D.J. and
Buehlmann, P. (2012) <doi:10.1093/bioinformatics/btr597>. Under the hood, it uses the
lightning fast random jungle package 'ranger'. Between the iterative model fitting,
we offer the option of using predictive mean matching. This firstly avoids imputation
with values not already present in the original data (like a value 0.3334 in 0-1 coded variable).
Secondly, predictive mean matching tries to raise the variance in the resulting conditional
distributions to a realistic level. This would allow e.g. to do multiple imputation when
repeating the call to missRanger().
A formula interface allows to control which variables should be imputed by which.
Author: Michael Mayer [aut, cre, cph]
Maintainer: Michael Mayer <mayermichael79@gmail.com>
Diff between missRanger versions 1.0.5 dated 2019-06-09 and 2.1.0 dated 2019-06-30
DESCRIPTION | 23 ++- MD5 | 32 +++-- NAMESPACE | 2 NEWS.md | 37 +++++ R/generateNA.R | 48 +++++-- R/imputeUnivariate.R | 49 ++++++- R/missRanger.R | 278 +++++++++++++++++++++++++++++++++++--------- R/pmm.R | 73 +++++++---- README.md | 301 ++++++++++++++++++++++++++++++++++++++---------- build |only inst |only man/convert.Rd |only man/generateNA.Rd | 22 ++- man/imputeUnivariate.Rd | 22 ++- man/missRanger.Rd | 98 ++++++++++++--- man/pmm.Rd | 37 +++-- man/revert.Rd |only man/typeof2.Rd |only vignettes |only 19 files changed, 788 insertions(+), 234 deletions(-)
Title: Index of Local Sensitivity to Nonignorability
Description: The current version provides functions to compute, print and summarize the Index of Sensitivity to Nonignorability (ISNI) in the generalized linear model for independent data, and in the marginal multivariate Gaussian model and the mixed-effects models for continuous and binary longitudinal/clustered data. It allows for arbitrary patterns of missingness in the regression outcomes caused by dropout and/or intermittent missingness. One can compute the sensitivity index without estimating any nonignorable models or positing specific magnitude of nonignorability. Thus ISNI provides a simple quantitative assessment of how robust the standard estimates assuming missing at random is with respect to the assumption of ignorability. For a tutorial, download at <http://huixie.people.uic.edu/Research/ISNI_R_tutorial.pdf>. For more details, see Troxel Ma and Heitjan (2004) and Xie and Heitjan (2004) <doi:10.1191/1740774504cn005oa> and Ma Troxel and Heitjan (2005) <doi:10.1002/sim.2107> and Xie (2008) <doi:10.1002/sim.3117> and Xie (2012) <doi:10.1016/j.csda.2010.11.021> and Xie and Qian (2012) <doi:10.1002/jae.1157>.
Author: Hui Xie <huixie@uic.edu>, Weihua Gao, Baodong Xing, Daniel Heitjan, Donald Hedeker, Chengbo Yuan
Maintainer: Hui Xie <huixie@uic.edu>
Diff between isni versions 0.4 dated 2019-02-04 and 1.0 dated 2019-06-30
DESCRIPTION | 12 - MD5 | 32 ++- NAMESPACE | 8 NEWS.md | 3 R/isniglmmbin.R |only R/isnimgm.R | 35 ++- build/vignette.rds |binary data/skquit.rda |only inst/doc/isni_vignette.Rmd | 3 inst/doc/isni_vignette.html | 390 ++++++++++++++++++++++++++++++++++---------- man/fun.ghqd.Rd |only man/fun.subiq.Rd |only man/isniglm.Rd | 4 man/isniglmmbin.Rd |only man/print.isniglmm.Rd |only man/skquit.Rd |only man/summary.isniglm.Rd | 4 man/summary.isniglmm.Rd |only man/summary.isnilmm.Rd | 4 man/summary.isnimgm.Rd | 4 vignettes/isni_vignette.Rmd | 3 21 files changed, 381 insertions(+), 121 deletions(-)
Title: Time-Varying Coefficient Linear Regression for Single and
Multi-Equations
Description: Fitting time-varying coefficient models both for single and multi-equation regressions, using kernel smoothing techniques.
Author: Isabel Casas [aut, cre],
Ruben Fernandez-Casal [aut]
Maintainer: Isabel Casas <casasis@gmail.com>
Diff between tvReg versions 0.4.1 dated 2019-04-08 and 0.4.2 dated 2019-06-30
DESCRIPTION | 10 MD5 | 100 ++-- NAMESPACE | 151 +++---- NEWS.md | 60 +- R/bw.R | 587 +++++++++++++-------------- R/confint_tvReg.R | 225 ++++++++++ R/forecast_tvreg.R | 613 ++++++++++++++-------------- R/kernels.R | 53 +- R/plot_tvReg.R | 750 +++++++++++++++++------------------ R/predict_tvReg.R | 518 ++++++++++++------------ R/tvAR.R | 318 +++++++------- R/tvBOOT.R | 287 +++++++------ R/tvCov.R | 277 ++++++------- R/tvGLS.R | 486 ++++++++-------------- R/tvLM.R | 276 ++++++------ R/tvOLS.R | 375 ++++++++--------- R/tvPsi.R | 108 ++--- R/tvSURE.R | 34 - R/tvVAR.R | 304 ++++++-------- R/update.R | 166 +++---- inst/CITATION | 31 - inst/doc/tvReg.R | 6 inst/doc/tvReg.Rmd | 1042 ++++++++++++++++++++++++------------------------- inst/doc/tvReg.html | 484 +++++++++++----------- man/CEES.Rd | 58 +- man/FF5F.Rd | 148 +++--- man/RV.Rd | 80 +-- man/bw.Rd | 167 +++---- man/bwCov.Rd | 76 +-- man/confint.tvReg.Rd | 160 +++---- man/forecast.Rd | 168 +++---- man/plot.tvReg.Rd | 100 ++-- man/predict-tvReg.Rd | 212 ++++----- man/print.tvReg.Rd | 76 +-- man/summary.tvReg.Rd | 88 ++-- man/tvAR.Rd | 232 +++++----- man/tvAcoef.Rd | 58 +- man/tvBcoef.Rd | 60 +- man/tvCov.Rd | 104 ++-- man/tvGLS.Rd | 169 +++---- man/tvIRF.Rd | 166 +++---- man/tvLM.Rd | 233 +++++----- man/tvOLS.Rd | 143 +++--- man/tvPhi.Rd | 38 - man/tvPsi.Rd | 60 +- man/tvReg-internals.Rd | 149 +++---- man/tvReg-methods.Rd | 70 +-- man/tvSURE.Rd | 343 ++++++++-------- man/tvVAR.Rd | 163 +++---- man/update.tvReg.Rd | 56 +- vignettes/tvReg.Rmd | 1042 ++++++++++++++++++++++++------------------------- 51 files changed, 5875 insertions(+), 5805 deletions(-)
Title: Density Ratio Estimation
Description: Density ratio estimation.
The estimated density ratio function can be used in many applications such as
anomaly detection, change-point detection, covariate shift adaptation.
The implemented methods are uLSIF (Hido et al. (2011) <doi:10.1007/s10115-010-0283-2>),
RuLSIF (Yamada et al. (2011) <doi:10.1162/NECO_a_00442>),
and KLIEP (Sugiyama et al. (2007) <doi:10.1007/s10463-008-0197-x>).
Author: Koji Makiyama [aut, cre]
Maintainer: Koji Makiyama <hoxo.smile@gmail.com>
Diff between densratio versions 0.1.1 dated 2019-05-08 and 0.2.1 dated 2019-06-30
densratio-0.1.1/densratio/R/uLSIF_search_sigma_and_lambda.R |only densratio-0.2.1/densratio/DESCRIPTION | 11 densratio-0.2.1/densratio/MD5 | 49 - densratio-0.2.1/densratio/NAMESPACE | 4 densratio-0.2.1/densratio/NEWS.md | 10 densratio-0.2.1/densratio/R/KLIEP.R | 44 - densratio-0.2.1/densratio/R/RuLSIF.R |only densratio-0.2.1/densratio/R/RuLSIF_search_sigma_and_lambda.R |only densratio-0.2.1/densratio/R/compute_kernel_Gaussian.R | 2 densratio-0.2.1/densratio/R/densratio.R | 41 - densratio-0.2.1/densratio/R/print.R | 35 - densratio-0.2.1/densratio/R/uLSIF.R | 56 - densratio-0.2.1/densratio/README.md | 313 +++++++--- densratio-0.2.1/densratio/inst/doc/densratio.R | 38 - densratio-0.2.1/densratio/inst/doc/densratio.Rmd | 159 ++--- densratio-0.2.1/densratio/inst/doc/densratio.html | 165 ++--- densratio-0.2.1/densratio/man/KLIEP.Rd | 14 densratio-0.2.1/densratio/man/RuLSIF.Rd |only densratio-0.2.1/densratio/man/densratio.Rd | 31 densratio-0.2.1/densratio/man/figures/README-basics-compute-estimated-density-ratio-1.png |only densratio-0.2.1/densratio/man/figures/README-compare-2d-1.png |only densratio-0.2.1/densratio/man/figures/README-compare-true-estimate-1.png |binary densratio-0.2.1/densratio/man/figures/README-compute-estimated-density-ratio-1.png |binary densratio-0.2.1/densratio/man/squared_euclid_distance.Rd | 2 densratio-0.2.1/densratio/man/uLSIF.Rd | 13 densratio-0.2.1/densratio/tests/testthat/test-KLIEP.R | 9 densratio-0.2.1/densratio/tests/testthat/test-RuLSIF.R |only densratio-0.2.1/densratio/tests/testthat/test-uLSIF.R | 9 densratio-0.2.1/densratio/vignettes/densratio.Rmd | 159 ++--- 29 files changed, 690 insertions(+), 474 deletions(-)
Title: R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3)
Description: Protocol Buffers are a way of encoding structured data in an
efficient yet extensible format. Google uses Protocol Buffers for almost all
of its internal 'RPC' protocols and file formats. Additional documentation
is available in two included vignettes one of which corresponds to our 'JSS'
paper (2016, <doi:10.18637/jss.v071.i02>. Either version 2 or 3 of the
'Protocol Buffers' 'API' is supported.
Author: Romain Francois, Dirk Eddelbuettel, Murray Stokely and Jeroen Ooms
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between RProtoBuf versions 0.4.13 dated 2018-11-03 and 0.4.14 dated 2019-06-30
ChangeLog | 25 +++++++++++++++++++++++++ DESCRIPTION | 8 ++++---- MD5 | 28 ++++++++++++++-------------- NAMESPACE | 2 ++ R/identical.R | 5 ++++- build/vignette.rds |binary inst/NEWS.Rd | 10 ++++++++++ inst/doc/RProtoBuf-intro.pdf |binary inst/doc/RProtoBuf-paper.pdf |binary inst/doc/RProtoBuf-quickref.pdf |binary inst/doc/RProtoBuf-unitTests.pdf |binary src/Makevars.win | 12 +++++++----- src/wrapper_Message.cpp | 31 +++++++++++++++++++------------ tools/winlibs.R | 6 +++--- vignettes/figures/fig-SER.pdf |binary 15 files changed, 88 insertions(+), 39 deletions(-)
Title: Authenticate and Create Google APIs
Description: Create R functions that interact with OAuth2 Google APIs
<https://developers.google.com/apis-explorer/> easily,
with auto-refresh and Shiny compatibility.
Author: Mark Edmondson [aut, cre] (<https://orcid.org/0000-0002-8434-3881>),
Jennifer Bryan [ctb],
Johann deBoer [ctb],
Neal Richardson [ctb],
David Kulp [ctb],
Joe Cheng [ctb]
Maintainer: Mark Edmondson <m@sunholo.com>
Diff between googleAuthR versions 0.7.0 dated 2018-11-16 and 0.8.0 dated 2019-06-30
DESCRIPTION | 10 MD5 | 124 ++-- NAMESPACE | 2 NEWS.md | 15 R/auth.R | 14 R/auto_auth.R | 30 R/batch.R | 18 R/checks.R | 7 R/debugging.R |only R/discovery.R | 2 R/gce.R | 75 ++ R/generator.R | 28 R/memoise.R | 8 R/options.R | 6 R/page_results.R | 49 + R/set_client.R | 17 R/shiny-auth.R | 2 R/shiny-js-signin.R | 4 R/shiny-modifyurl.R | 35 - R/utility.R | 2 inst/doc/advanced-building.html | 6 inst/doc/building.html | 4 inst/doc/google-authentication-types.Rmd | 4 inst/doc/google-authentication-types.html | 8 inst/doc/setup.html | 4 inst/doc/troubleshooting.html | 4 inst/jupyter |only inst/server_side_auth_function/rsconnect |only inst/signin_demo/app/app.R | 7 man/checkTokenAPI.Rd | 1 man/gar_api_generator.Rd | 4 man/gar_api_page.Rd | 8 man/gar_attach_auto_auth.Rd | 8 man/gar_auth.Rd | 1 man/gar_auth_service.Rd | 4 man/gar_auto_auth.Rd | 7 man/gar_batch.Rd | 1 man/gar_batch_walk.Rd | 22 man/gar_cache_setup.Rd | 5 man/gar_create_api_objects.Rd | 1 man/gar_create_api_skeleton.Rd | 1 man/gar_create_package.Rd | 3 man/gar_debug_parsing.Rd |only man/gar_discovery_api.Rd | 1 man/gar_discovery_apis_list.Rd | 1 man/gar_gce_auth.Rd | 1 man/gar_gce_auth_default.Rd |only man/gar_shiny_auth.Rd | 3 man/gar_shiny_auth_url.Rd | 1 man/gar_shiny_login_ui.Rd | 1 man/gar_shiny_ui.Rd | 1 man/gar_token_info.Rd | 3 man/get_google_token.Rd | 1 man/googleAuth.Rd | 7 man/googleAuthUI.Rd | 1 man/silent_auth.Rd | 1 man/token_exists.Rd | 1 man/with_shiny.Rd | 1 tests/testthat/googleAuthR_tests.httr-oauth |binary tests/testthat/googledrive.oauth |binary tests/testthat/mock/1dab1c362ae939fc |only tests/testthat/test-integration.R | 1 tests/www.googleapis.com/discovery/v1/apis.json | 266 ++++++-- tests/www.googleapis.com/discovery/v1/apis/acceleratedmobilepageurl/v1/rest.json | 308 +++++----- tests/www.googleapis.com/urlshortener/v1/url-bd4cc3-POST.json | 2 vignettes/google-authentication-types.Rmd | 4 66 files changed, 775 insertions(+), 381 deletions(-)
Title: Global Sensitivity Analysis in Physiologically Based Kinetic
Modeling
Description: Applying the global sensitivity analysis workflow to investigate the parameter uncertainty and sensitivity in pharmacokinetic (PK) models, especially the physiologically-based pharmacokinetic (PBPK) model with multivariate outputs. The package also provide some functions to check the sensitivity measures and its convergence of model parameters.
Author: Nan-Hung Hsieh [aut, cre] (<https://orcid.org/0000-0003-0163-2766>),
Brad Reisfeld [aut],
Weihsueh A. Chiu [aut] (<https://orcid.org/0000-0002-7575-2368>)
Maintainer: Nan-Hung Hsieh <nhsieh@cvm.tamu.edu>
Diff between pksensi versions 1.1.1 dated 2019-05-29 and 1.1.2 dated 2019-06-30
DESCRIPTION | 6 - MD5 | 38 ++++----- NEWS.md | 11 ++ R/check.R | 2 R/compile.R | 12 +-- R/install.R | 58 +++++++++----- R/pksim.R | 91 +++++++++++------------ R/solve_fun.R | 5 + R/solve_mcsim.R | 1 build/vignette.rds |binary inst/doc/pbpk_apap.R | 101 +++++++++++-------------- inst/doc/pbpk_apap.Rmd | 148 +++++++++++++++++++------------------ inst/doc/pbpk_apap.html | 167 ++++++++++++++++++++++-------------------- inst/doc/pbtk1cpt.R | 115 ++++++++++++++++++----------- inst/doc/pbtk1cpt.Rmd | 189 ++++++++++++++++++++++++++++++------------------ inst/doc/pbtk1cpt.html | 187 +++++++++++++++++++++++++++-------------------- man/compile_model.Rd | 4 - tests/pbtk1cpt.model | 24 ++---- vignettes/pbpk_apap.Rmd | 148 +++++++++++++++++++------------------ vignettes/pbtk1cpt.Rmd | 189 ++++++++++++++++++++++++++++++------------------ 20 files changed, 853 insertions(+), 643 deletions(-)
Title: Global Sensitivity Analysis of Model Outputs
Description: A collection of functions for factor screening, global sensitivity analysis and reliability sensitivity analysis. Most of the functions have to be applied on model with scalar output, but several functions support multi-dimensional outputs.
Author: Bertrand Iooss, Alexandre Janon and Gilles Pujol, with contributions from Baptiste Broto, Khalid Boumhaout, Sebastien Da Veiga, Thibault Delage, Jana Fruth, Laurent Gilquin, Joseph Guillaume, Loic Le Gratiet, Paul Lemaitre, Barry L. Nelson, Filippo Monari, Roelof Oomen, Oldrich Rakovec, Bernardo Ramos, Olivier Roustant, Eunhye Song, Jeremy Staum, Roman Sueur, Taieb Touati, Frank Weber
Maintainer: Bertrand Iooss <biooss@yahoo.fr>
Diff between sensitivity versions 1.16.0 dated 2019-05-25 and 1.16.1 dated 2019-06-30
DESCRIPTION | 12 MD5 | 101 +++--- NAMESPACE | 24 + NEWS | 16 + R/delsa.R | 5 R/nodeggplot.R |only R/pcc.R | 9 R/sensiFdiv.R | 390 +++++++++++++------------- R/sensiHSIC.R | 7 R/shapleyPermEx.R | 425 ++++++++++++++-------------- R/shapleyPermRand.R | 402 +++++++++++++-------------- R/shapleySubsetMc.R | 386 +++++++++++++------------- R/sobol.R | 358 ++++++++++++------------ R/sobol2002.R | 246 ++++++++-------- R/sobol2007.R | 247 ++++++++-------- R/sobolEff.R | 372 +++++++++++++------------ R/sobolEff2.R | 220 +++++++------- R/sobolMultOut.R | 224 +++++++-------- R/sobolSalt.R | 43 +- R/sobolTIIlo.R | 288 ++++++++++--------- R/sobolTIIpf.R | 276 +++++++++--------- R/soboljansen.R | 596 ++++++++++++++++++++-------------------- R/sobolmara.R | 204 +++++++------ R/sobolmartinez.R | 663 +++++++++++++++++++++++---------------------- R/sobolowen.R | 285 +++++++++---------- R/sobolroalhs.R | 639 ++++++++++++++++++++++--------------------- R/sobolroauc.R | 13 R/soboltouati.R | 336 +++++++++++----------- R/src.R | 130 ++++---- man/delsa.Rd | 3 man/pcc.Rd | 8 man/sensiFdiv.Rd | 5 man/sensiHSIC.Rd | 11 man/sensitivity-package.Rd | 4 man/shapleyPermEx.Rd | 8 man/shapleyPermRand.Rd | 11 man/sobol.Rd | 5 man/sobol2002.Rd | 5 man/sobol2007.Rd | 5 man/sobolEff.Rd | 5 man/sobolMultOut.Rd | 4 man/sobolSalt.Rd | 189 ++++++------ man/sobolTIIlo.Rd | 5 man/sobolTIIpf.Rd | 5 man/soboljansen.Rd | 5 man/sobolmara.Rd | 5 man/sobolmartinez.Rd | 5 man/sobolowen.Rd | 5 man/sobolroalhs.Rd | 11 man/sobolroauc.Rd | 7 man/soboltouati.Rd | 5 man/src.Rd | 5 52 files changed, 3811 insertions(+), 3427 deletions(-)
Title: High Performance Tools for Combinatorics and Computational
Mathematics
Description: Provides optimized functions implemented in C++ with 'Rcpp'
for solving problems in combinatorics and computational mathematics.
Utilizes parallel programming via 'RcppThread' for maximal performance.
Also makes use of the RMatrix class from the 'RcppParallel' library.
There are combination/permutation functions with constraint parameters
that allow for generation of all combinations/permutations of a vector
meeting specific criteria (e.g. finding all combinations such
that the sum is between two bounds). Capable of generating specific
combinations/permutations (e.g. retrieve only the nth lexicographical
result) which sets up nicely for parallelization as well as random
sampling. Gmp support permits exploration where the total number of
results is large (e.g. comboSample(10000, 500, n = 4)). Additionally,
there are several high performance number theoretic functions that
are useful for problems common in computational mathematics. Some of
these functions make use of the fast integer division library
'libdivide' by <http://ridiculousfish.com>. The primeSieve function
is based on the segmented sieve of Eratosthenes implementation by
Kim Walisch. It is also efficient for large numbers by using the
cache friendly improvements originally developed by Tomás Oliveira.
Finally, there is a prime counting function that implements Legendre's
formula based on the algorithm by Kim Walisch.
Author: Joseph Wood
Maintainer: Joseph Wood <jwood000@gmail.com>
Diff between RcppAlgos versions 2.3.2 dated 2019-04-14 and 2.3.3 dated 2019-06-30
RcppAlgos-2.3.2/RcppAlgos/inst/include/Combinatorics.h |only RcppAlgos-2.3.3/RcppAlgos/DESCRIPTION | 6 RcppAlgos-2.3.3/RcppAlgos/MD5 | 72 - RcppAlgos-2.3.3/RcppAlgos/R/Combinatorics.R | 16 RcppAlgos-2.3.3/RcppAlgos/R/RcppExports.R | 4 RcppAlgos-2.3.3/RcppAlgos/README.md | 144 +- RcppAlgos-2.3.3/RcppAlgos/inst/NEWS.Rd | 8 RcppAlgos-2.3.3/RcppAlgos/inst/include/CleanConvert.h | 95 - RcppAlgos-2.3.3/RcppAlgos/inst/include/CombPermUtils.h | 10 RcppAlgos-2.3.3/RcppAlgos/inst/include/ComboResults.h | 7 RcppAlgos-2.3.3/RcppAlgos/inst/include/ConstraintsMaster.h |only RcppAlgos-2.3.3/RcppAlgos/inst/include/ConstraintsUtils.h | 21 RcppAlgos-2.3.3/RcppAlgos/inst/include/Eratosthenes.h | 6 RcppAlgos-2.3.3/RcppAlgos/inst/include/GeneralPartitions.h |only RcppAlgos-2.3.3/RcppAlgos/inst/include/MotleyPrimes.h | 8 RcppAlgos-2.3.3/RcppAlgos/inst/include/Permutations.h | 60 - RcppAlgos-2.3.3/RcppAlgos/inst/include/PermuteResults.h | 40 RcppAlgos-2.3.3/RcppAlgos/inst/include/Wheel.h | 12 RcppAlgos-2.3.3/RcppAlgos/inst/include/importExportMPZ.h | 4 RcppAlgos-2.3.3/RcppAlgos/man/RcppAlgos-package.Rd | 7 RcppAlgos-2.3.3/RcppAlgos/man/combinatoricsGeneral.Rd | 19 RcppAlgos-2.3.3/RcppAlgos/src/CombPermUtils.cpp | 20 RcppAlgos-2.3.3/RcppAlgos/src/Combinatorics.cpp | 531 +--------- RcppAlgos-2.3.3/RcppAlgos/src/NthResult.cpp | 5 RcppAlgos-2.3.3/RcppAlgos/src/PollardRho.cpp | 364 ++++-- RcppAlgos-2.3.3/RcppAlgos/src/Primes.cpp | 10 RcppAlgos-2.3.3/RcppAlgos/src/RcppExports.cpp | 15 RcppAlgos-2.3.3/RcppAlgos/src/SampCombPerm.cpp | 14 RcppAlgos-2.3.3/RcppAlgos/src/importExportMPZ.cpp | 10 RcppAlgos-2.3.3/RcppAlgos/tests/testthat/testComboGeneral.R | 7 RcppAlgos-2.3.3/RcppAlgos/tests/testthat/testDivisorsSieve.R | 4 RcppAlgos-2.3.3/RcppAlgos/tests/testthat/testEulerPhiSieve.R | 4 RcppAlgos-2.3.3/RcppAlgos/tests/testthat/testIsPrimeRcpp.R | 2 RcppAlgos-2.3.3/RcppAlgos/tests/testthat/testNumDivisorSieve.R | 4 RcppAlgos-2.3.3/RcppAlgos/tests/testthat/testPermuteGeneral.R | 10 RcppAlgos-2.3.3/RcppAlgos/tests/testthat/testPrimeFactorizeSieve.R | 2 RcppAlgos-2.3.3/RcppAlgos/tests/testthat/testPrimeSieve.R | 2 RcppAlgos-2.3.3/RcppAlgos/tests/testthat/testSample.R | 4 RcppAlgos-2.3.3/RcppAlgos/tests/testthat/testSpecialSubsetSum.R |only 39 files changed, 689 insertions(+), 858 deletions(-)
Title: Open Population Capture-Recapture
Description: Functions for non-spatial and spatial open-population capture-recapture analysis.
Author: Murray Efford [aut, cre] (<https://orcid.org/0000-0001-5231-5184>)
Maintainer: Murray Efford <murray.efford@otago.ac.nz>
Diff between openCR versions 1.4.0 dated 2019-06-15 and 1.4.1 dated 2019-06-30
DESCRIPTION | 8 - MD5 | 33 ++-- NAMESPACE | 2 NEWS | 16 ++ R/logliksecr.R | 110 +++++--------- R/moving.fit.R | 6 R/openCR.fit.R | 3 R/predict.openCR.R | 1 R/prwi.R |only R/prwisecr.R | 313 ++++++++++++------------------------------ R/simulate.R | 27 +-- R/summary.openCR.R | 17 +- inst/doc/openCR-vignette.Rmd | 14 - inst/doc/openCR-vignette.pdf |binary man/openCR-internal.Rd | 6 man/openCR-package.Rd | 4 src/prwisecrparallel.cpp | 119 ++++++++------- vignettes/openCR-vignette.Rmd | 14 - 18 files changed, 287 insertions(+), 406 deletions(-)