Title: Tidy Complex 'JSON'
Description: Turn complex 'JSON' data into tidy data frames.
Author: Jeremy Stanley [aut],
Cole Arendt [aut, cre]
Maintainer: Cole Arendt <cole@rstudio.com>
Diff between tidyjson versions 0.3.0 dated 2020-05-28 and 0.3.1 dated 2020-05-31
DESCRIPTION | 10 +++--- MD5 | 27 ++++++++-------- NAMESPACE | 5 +++ NEWS.md | 16 +++++++++ R/data-worldbank.R | 2 + R/spread_all.R | 8 +++- R/tbl_json.R | 54 +++++++++++++++++++++++++++++++++ inst/doc/introduction-to-tidyjson.html | 23 +++++++------- inst/doc/visualizing-json.html | 27 ++++++++-------- man/spread_all.Rd | 8 +++- man/worldbank.Rd | 2 + tests/testthat/test-examples.R |only tests/testthat/test-gather_object.R | 5 --- tests/testthat/test-json_structure.R | 2 - tests/testthat/test-tbl_json.R | 32 ++++++++++++++++++- 15 files changed, 165 insertions(+), 56 deletions(-)
Title: An Interface to 'SUNDIALS' Ordinary Differential Equation (ODE)
Solvers
Description: Provides a way to call the functions in 'SUNDIALS' C ODE solving library (<https://computation.llnl.gov/projects/sundials>). Currently the serial version of ODE solver, 'CVODE', sensitivity calculator 'CVODES' and differential algebraic solver 'IDA' from the 'SUNDIALS' library are implemented. The package requires ODE to be written as an 'R' or 'Rcpp' function and does not require the 'SUNDIALS' library to be installed on the local machine.
Author: Satyaprakash Nayak [aut, cre, cph]
(<https://orcid.org/0000-0001-7225-1317>),
Lawrence Livermore National Security [cph],
Southern Methodist University [cph]
Maintainer: Satyaprakash Nayak <sn248@cornell.edu>
Diff between sundialr versions 0.1.3 dated 2019-06-09 and 0.1.4 dated 2020-05-31
sundialr-0.1.3/sundialr/inst/include/nvector/cuda |only sundialr-0.1.3/sundialr/inst/include/nvector/nvector_cuda.h |only sundialr-0.1.3/sundialr/inst/include/nvector/nvector_mpicuda.h |only sundialr-0.1.3/sundialr/inst/include/nvector/nvector_mpiraja.h |only sundialr-0.1.3/sundialr/inst/include/nvector/nvector_parhyp.h |only sundialr-0.1.3/sundialr/inst/include/nvector/nvector_petsc.h |only sundialr-0.1.3/sundialr/inst/include/nvector/nvector_pthreads.h |only sundialr-0.1.3/sundialr/inst/include/nvector/nvector_raja.h |only sundialr-0.1.3/sundialr/inst/include/nvector/raja |only sundialr-0.1.3/sundialr/inst/include/sundials/sundials_klu_impl.h |only sundialr-0.1.3/sundialr/inst/include/sundials/sundials_mpi.h |only sundialr-0.1.3/sundialr/inst/include/sundials/sundials_pcg.h |only sundialr-0.1.3/sundialr/inst/include/sundials/sundials_sparse.h |only sundialr-0.1.3/sundialr/inst/include/sundials/sundials_spbcgs.h |only sundialr-0.1.3/sundialr/inst/include/sundials/sundials_spfgmr.h |only sundialr-0.1.3/sundialr/inst/include/sundials/sundials_spgmr.h |only sundialr-0.1.3/sundialr/inst/include/sundials/sundials_sptfqmr.h |only sundialr-0.1.3/sundialr/inst/include/sundials/sundials_superlumt_impl.h |only sundialr-0.1.3/sundialr/src/sundials/cvode/F90 |only sundialr-0.1.3/sundialr/src/sundials/cvode/README |only sundialr-0.1.3/sundialr/src/sundials/cvode/fcmix |only sundialr-0.1.3/sundialr/src/sundials/cvodes/README |only sundialr-0.1.3/sundialr/src/sundials/nvec_ser |only sundialr-0.1.3/sundialr/src/sundials/sundials/sundials_mpi.c |only sundialr-0.1.3/sundialr/src/sundials/sundials/sundials_pcg.c |only sundialr-0.1.3/sundialr/src/sundials/sundials/sundials_sparse.c |only sundialr-0.1.3/sundialr/src/sundials/sundials/sundials_spbcgs.c |only sundialr-0.1.3/sundialr/src/sundials/sundials/sundials_spfgmr.c |only sundialr-0.1.3/sundialr/src/sundials/sundials/sundials_spgmr.c |only sundialr-0.1.3/sundialr/src/sundials/sundials/sundials_sptfqmr.c |only sundialr-0.1.3/sundialr/src/sundials/sunlinsol_band |only sundialr-0.1.3/sundialr/src/sundials/sunlinsol_dense |only sundialr-0.1.3/sundialr/src/sundials/sunmat_band |only sundialr-0.1.3/sundialr/src/sundials/sunmat_dense |only sundialr-0.1.3/sundialr/src/sundials/sunnonlinsol/fixedpoint/F90 |only sundialr-0.1.3/sundialr/src/sundials/sunnonlinsol/newton/F90 |only sundialr-0.1.4/sundialr/DESCRIPTION | 46 sundialr-0.1.4/sundialr/LICENSE |only sundialr-0.1.4/sundialr/MD5 | 406 - sundialr-0.1.4/sundialr/NEWS |only sundialr-0.1.4/sundialr/R/RcppExports.R | 41 sundialr-0.1.4/sundialr/R/zzz.R | 6 sundialr-0.1.4/sundialr/README.md | 34 sundialr-0.1.4/sundialr/build/vignette.rds |binary sundialr-0.1.4/sundialr/inst/COPYRIGHTS |only sundialr-0.1.4/sundialr/inst/doc/my-vignette.R | 79 sundialr-0.1.4/sundialr/inst/doc/my-vignette.Rmd | 158 sundialr-0.1.4/sundialr/inst/doc/my-vignette.html | 440 - sundialr-0.1.4/sundialr/inst/examples/cv_Roberts_dns.r | 1 sundialr-0.1.4/sundialr/inst/examples/cvs_Roberts_dns.r | 3 sundialr-0.1.4/sundialr/inst/examples/cvsolve_1D.r |only sundialr-0.1.4/sundialr/inst/examples/ida_Roberts_dns.r |only sundialr-0.1.4/sundialr/inst/include/cvode/cvode.h | 770 -- sundialr-0.1.4/sundialr/inst/include/cvode/cvode_bandpre.h | 143 sundialr-0.1.4/sundialr/inst/include/cvode/cvode_bbdpre.h | 288 sundialr-0.1.4/sundialr/inst/include/cvode/cvode_diag.h | 102 sundialr-0.1.4/sundialr/inst/include/cvode/cvode_direct.h | 68 sundialr-0.1.4/sundialr/inst/include/cvode/cvode_ls.h | 367 - sundialr-0.1.4/sundialr/inst/include/cvode/cvode_spils.h | 107 sundialr-0.1.4/sundialr/inst/include/cvodes/cvodes.h | 2008 ------ sundialr-0.1.4/sundialr/inst/include/cvodes/cvodes_bandpre.h | 176 sundialr-0.1.4/sundialr/inst/include/cvodes/cvodes_bbdpre.h | 354 - sundialr-0.1.4/sundialr/inst/include/cvodes/cvodes_diag.h | 124 sundialr-0.1.4/sundialr/inst/include/cvodes/cvodes_direct.h | 66 sundialr-0.1.4/sundialr/inst/include/cvodes/cvodes_ls.h | 506 - sundialr-0.1.4/sundialr/inst/include/cvodes/cvodes_spils.h | 152 sundialr-0.1.4/sundialr/inst/include/ida |only sundialr-0.1.4/sundialr/inst/include/nvector/nvector_openmp.h | 228 sundialr-0.1.4/sundialr/inst/include/nvector/nvector_openmpdev.h | 234 sundialr-0.1.4/sundialr/inst/include/nvector/nvector_parallel.h | 253 sundialr-0.1.4/sundialr/inst/include/nvector/nvector_serial.h | 209 sundialr-0.1.4/sundialr/inst/include/rhs_func.h |only sundialr-0.1.4/sundialr/inst/include/sundials/sundials_band.h | 61 sundialr-0.1.4/sundialr/inst/include/sundials/sundials_config.h | 38 sundialr-0.1.4/sundialr/inst/include/sundials/sundials_config.in | 30 sundialr-0.1.4/sundialr/inst/include/sundials/sundials_dense.h | 65 sundialr-0.1.4/sundialr/inst/include/sundials/sundials_direct.h | 116 sundialr-0.1.4/sundialr/inst/include/sundials/sundials_fconfig.h | 11 sundialr-0.1.4/sundialr/inst/include/sundials/sundials_fconfig.in | 11 sundialr-0.1.4/sundialr/inst/include/sundials/sundials_fnvector.h | 27 sundialr-0.1.4/sundialr/inst/include/sundials/sundials_futils.h |only sundialr-0.1.4/sundialr/inst/include/sundials/sundials_iterative.h | 305 - sundialr-0.1.4/sundialr/inst/include/sundials/sundials_lapack.h | 253 sundialr-0.1.4/sundialr/inst/include/sundials/sundials_linearsolver.h | 422 - sundialr-0.1.4/sundialr/inst/include/sundials/sundials_math.h | 47 sundialr-0.1.4/sundialr/inst/include/sundials/sundials_matrix.h | 205 sundialr-0.1.4/sundialr/inst/include/sundials/sundials_mpi_types.h | 31 sundialr-0.1.4/sundialr/inst/include/sundials/sundials_nonlinearsolver.h | 159 sundialr-0.1.4/sundialr/inst/include/sundials/sundials_nvector.h | 433 - sundialr-0.1.4/sundialr/inst/include/sundials/sundials_nvector_senswrapper.h | 32 sundialr-0.1.4/sundialr/inst/include/sundials/sundials_types.h | 55 sundialr-0.1.4/sundialr/inst/include/sundials/sundials_version.h | 52 sundialr-0.1.4/sundialr/inst/include/sunlinsol/sunlinsol_band.h | 80 sundialr-0.1.4/sundialr/inst/include/sunlinsol/sunlinsol_cusolversp_batchqr.h |only sundialr-0.1.4/sundialr/inst/include/sunlinsol/sunlinsol_dense.h | 85 sundialr-0.1.4/sundialr/inst/include/sunlinsol/sunlinsol_klu.h | 154 sundialr-0.1.4/sundialr/inst/include/sunlinsol/sunlinsol_lapackband.h | 87 sundialr-0.1.4/sundialr/inst/include/sunlinsol/sunlinsol_lapackdense.h | 87 sundialr-0.1.4/sundialr/inst/include/sunlinsol/sunlinsol_pcg.h | 179 sundialr-0.1.4/sundialr/inst/include/sunlinsol/sunlinsol_spbcgs.h | 183 sundialr-0.1.4/sundialr/inst/include/sunlinsol/sunlinsol_spfgmr.h | 202 sundialr-0.1.4/sundialr/inst/include/sunlinsol/sunlinsol_spgmr.h | 201 sundialr-0.1.4/sundialr/inst/include/sunlinsol/sunlinsol_sptfqmr.h | 175 sundialr-0.1.4/sundialr/inst/include/sunlinsol/sunlinsol_superludist.h |only sundialr-0.1.4/sundialr/inst/include/sunlinsol/sunlinsol_superlumt.h | 112 sundialr-0.1.4/sundialr/inst/include/sunmatrix/sunmatrix_band.h | 256 sundialr-0.1.4/sundialr/inst/include/sunmatrix/sunmatrix_dense.h | 195 sundialr-0.1.4/sundialr/inst/include/sunmatrix/sunmatrix_slunrloc.h |only sundialr-0.1.4/sundialr/inst/include/sunmatrix/sunmatrix_sparse.h | 270 sundialr-0.1.4/sundialr/inst/include/sunnonlinsol/sunnonlinsol_fixedpoint.h | 63 sundialr-0.1.4/sundialr/inst/include/sunnonlinsol/sunnonlinsol_newton.h | 20 sundialr-0.1.4/sundialr/inst/include/sunnonlinsol/sunnonlinsol_petscsnes.h |only sundialr-0.1.4/sundialr/man/cvode.Rd | 15 sundialr-0.1.4/sundialr/man/cvodes.Rd | 19 sundialr-0.1.4/sundialr/man/cvsolve.Rd |only sundialr-0.1.4/sundialr/man/figures |only sundialr-0.1.4/sundialr/man/ida.Rd |only sundialr-0.1.4/sundialr/src/Makevars | 69 sundialr-0.1.4/sundialr/src/Makevars.win | 69 sundialr-0.1.4/sundialr/src/RcppExports.cpp | 37 sundialr-0.1.4/sundialr/src/check_retval.cpp | 30 sundialr-0.1.4/sundialr/src/cvode.cpp | 201 sundialr-0.1.4/sundialr/src/cvodes.cpp | 43 sundialr-0.1.4/sundialr/src/cvsolve.cpp |only sundialr-0.1.4/sundialr/src/ida.cpp |only sundialr-0.1.4/sundialr/src/rhs_func.cpp |only sundialr-0.1.4/sundialr/src/sortTimes.cpp |only sundialr-0.1.4/sundialr/src/sundials/cvode/CMakeLists.txt | 111 sundialr-0.1.4/sundialr/src/sundials/cvode/LICENSE | 77 sundialr-0.1.4/sundialr/src/sundials/cvode/NOTICE |only sundialr-0.1.4/sundialr/src/sundials/cvode/README.md |only sundialr-0.1.4/sundialr/src/sundials/cvode/cvode.c | 636 +- sundialr-0.1.4/sundialr/src/sundials/cvode/cvode_bandpre.c | 138 sundialr-0.1.4/sundialr/src/sundials/cvode/cvode_bandpre_impl.h | 18 sundialr-0.1.4/sundialr/src/sundials/cvode/cvode_bbdpre.c | 154 sundialr-0.1.4/sundialr/src/sundials/cvode/cvode_bbdpre_impl.h | 18 sundialr-0.1.4/sundialr/src/sundials/cvode/cvode_diag.c | 16 sundialr-0.1.4/sundialr/src/sundials/cvode/cvode_diag_impl.h | 16 sundialr-0.1.4/sundialr/src/sundials/cvode/cvode_direct.c |only sundialr-0.1.4/sundialr/src/sundials/cvode/cvode_impl.h | 34 sundialr-0.1.4/sundialr/src/sundials/cvode/cvode_io.c | 64 sundialr-0.1.4/sundialr/src/sundials/cvode/cvode_ls.c | 514 + sundialr-0.1.4/sundialr/src/sundials/cvode/cvode_ls_impl.h | 40 sundialr-0.1.4/sundialr/src/sundials/cvode/cvode_nls.c | 37 sundialr-0.1.4/sundialr/src/sundials/cvode/cvode_spils.c |only sundialr-0.1.4/sundialr/src/sundials/cvodes/CMakeLists.txt | 112 sundialr-0.1.4/sundialr/src/sundials/cvodes/LICENSE | 77 sundialr-0.1.4/sundialr/src/sundials/cvodes/NOTICE |only sundialr-0.1.4/sundialr/src/sundials/cvodes/README.md |only sundialr-0.1.4/sundialr/src/sundials/cvodes/cvodea.c | 328 - sundialr-0.1.4/sundialr/src/sundials/cvodes/cvodea_io.c | 29 sundialr-0.1.4/sundialr/src/sundials/cvodes/cvodes.c | 3037 +++++----- sundialr-0.1.4/sundialr/src/sundials/cvodes/cvodes_bandpre.c | 138 sundialr-0.1.4/sundialr/src/sundials/cvodes/cvodes_bandpre_impl.h | 18 sundialr-0.1.4/sundialr/src/sundials/cvodes/cvodes_bbdpre.c | 180 sundialr-0.1.4/sundialr/src/sundials/cvodes/cvodes_bbdpre_impl.h | 18 sundialr-0.1.4/sundialr/src/sundials/cvodes/cvodes_diag.c | 16 sundialr-0.1.4/sundialr/src/sundials/cvodes/cvodes_diag_impl.h | 16 sundialr-0.1.4/sundialr/src/sundials/cvodes/cvodes_direct.c |only sundialr-0.1.4/sundialr/src/sundials/cvodes/cvodes_impl.h | 233 sundialr-0.1.4/sundialr/src/sundials/cvodes/cvodes_io.c | 271 sundialr-0.1.4/sundialr/src/sundials/cvodes/cvodes_ls.c | 691 +- sundialr-0.1.4/sundialr/src/sundials/cvodes/cvodes_ls_impl.h | 50 sundialr-0.1.4/sundialr/src/sundials/cvodes/cvodes_nls.c | 38 sundialr-0.1.4/sundialr/src/sundials/cvodes/cvodes_nls_sim.c | 59 sundialr-0.1.4/sundialr/src/sundials/cvodes/cvodes_nls_stg.c | 56 sundialr-0.1.4/sundialr/src/sundials/cvodes/cvodes_nls_stg1.c | 40 sundialr-0.1.4/sundialr/src/sundials/cvodes/cvodes_spils.c |only sundialr-0.1.4/sundialr/src/sundials/ida |only sundialr-0.1.4/sundialr/src/sundials/nvector |only sundialr-0.1.4/sundialr/src/sundials/sundials/CMakeLists.txt | 90 sundialr-0.1.4/sundialr/src/sundials/sundials/sundials_band.c | 16 sundialr-0.1.4/sundialr/src/sundials/sundials/sundials_dense.c | 16 sundialr-0.1.4/sundialr/src/sundials/sundials/sundials_direct.c | 16 sundialr-0.1.4/sundialr/src/sundials/sundials/sundials_futils.c |only sundialr-0.1.4/sundialr/src/sundials/sundials/sundials_iterative.c | 16 sundialr-0.1.4/sundialr/src/sundials/sundials/sundials_linearsolver.c | 147 sundialr-0.1.4/sundialr/src/sundials/sundials/sundials_math.c | 16 sundialr-0.1.4/sundialr/src/sundials/sundials/sundials_matrix.c | 135 sundialr-0.1.4/sundialr/src/sundials/sundials/sundials_nonlinearsolver.c | 111 sundialr-0.1.4/sundialr/src/sundials/sundials/sundials_nvector.c | 390 + sundialr-0.1.4/sundialr/src/sundials/sundials/sundials_nvector_senswrapper.c | 16 sundialr-0.1.4/sundialr/src/sundials/sundials/sundials_version.c | 16 sundialr-0.1.4/sundialr/src/sundials/sunlinsol |only sundialr-0.1.4/sundialr/src/sundials/sunmatrix |only sundialr-0.1.4/sundialr/src/sundials/sunnonlinsol/CMakeLists.txt | 20 sundialr-0.1.4/sundialr/src/sundials/sunnonlinsol/fixedpoint/CMakeLists.txt | 26 sundialr-0.1.4/sundialr/src/sundials/sunnonlinsol/fixedpoint/fsunnonlinsol_fixedpoint.c | 18 sundialr-0.1.4/sundialr/src/sundials/sunnonlinsol/fixedpoint/fsunnonlinsol_fixedpoint.h | 18 sundialr-0.1.4/sundialr/src/sundials/sunnonlinsol/fixedpoint/sunnonlinsol_fixedpoint.c | 164 sundialr-0.1.4/sundialr/src/sundials/sunnonlinsol/newton/CMakeLists.txt | 24 sundialr-0.1.4/sundialr/src/sundials/sunnonlinsol/newton/fsunnonlinsol_newton.c | 16 sundialr-0.1.4/sundialr/src/sundials/sunnonlinsol/newton/fsunnonlinsol_newton.h | 16 sundialr-0.1.4/sundialr/src/sundials/sunnonlinsol/newton/sunnonlinsol_newton.c | 121 sundialr-0.1.4/sundialr/tests |only sundialr-0.1.4/sundialr/vignettes/my-vignette.Rmd | 158 196 files changed, 8584 insertions(+), 12816 deletions(-)
Title: A 'robots.txt' Parser and 'Webbot'/'Spider'/'Crawler'
Permissions Checker
Description: Provides functions to download and parse 'robots.txt' files.
Ultimately the package makes it easy to check if bots
(spiders, crawler, scrapers, ...) are allowed to access specific
resources on a domain.
Author: Peter Meissner [aut, cre],
Kun Ren [aut, cph] (Author and copyright holder of list_merge.R.),
Oliver Keys [ctb] (original release code review),
Rich Fitz John [ctb] (original release code review)
Maintainer: Peter Meissner <retep.meissner@gmail.com>
Diff between robotstxt versions 0.6.2 dated 2018-07-18 and 0.7.4 dated 2020-05-31
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Title: Markov Chain Monte Carlo (MCMC) Package
Description: Contains functions to perform Bayesian
inference using posterior simulation for a number of
statistical models. Most simulation is done in compiled C++
written in the Scythe Statistical Library Version 1.0.3. All
models return 'coda' mcmc objects that can then be summarized
using the 'coda' package. Some useful
utility functions such as density functions,
pseudo-random number generators for statistical
distributions, a general purpose Metropolis sampling algorithm,
and tools for visualization are provided.
Author: Andrew D. Martin [aut], Kevin M. Quinn [aut], Jong Hee Park [aut,cre], Ghislain Vieilledent [ctb], Michael Malecki[ctb], Matthew Blackwell [ctb], Keith Poole [ctb], Craig Reed [ctb], Ben Goodrich [ctb], Ross Ihaka [cph], The R Development Core Team [cph], The R Foundation [cph], Pierre L'Ecuyer [cph], Makoto Matsumoto [cph], Takuji Nishimura [cph]
Maintainer: Jong Hee Park <jongheepark@snu.ac.kr>
Diff between MCMCpack versions 1.4-7 dated 2020-05-08 and 1.4-8 dated 2020-05-31
DESCRIPTION | 8 ++++---- MD5 | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-)
Title: Methods for Fitting Network Time Series Models
Description: Simulation of, and fitting models for, Generalised Network Autoregressive (GNAR) time series models which take account of network structure. Such models are described in Knight et al. (2016), see <arXiv:1603.03221>.
Author: Kathryn Leeming [aut],
Guy Nason [aut],
Matt Nunes [aut, cre],
Marina Knight [ctb]
Maintainer: Matt Nunes <nunesrpackages@gmail.com>
Diff between GNAR versions 1.0 dated 2019-10-29 and 1.1.0 dated 2020-05-31
DESCRIPTION | 10 +++++----- MD5 | 28 ++++++++++++++-------------- R/GNARdesign.R | 17 +++++++++++------ R/GNARsim.R | 5 +++++ R/NofNeighbours.R | 9 +++++++-- R/as.GNARnet.R | 8 +++++++- R/is.GNARnet.R | 9 ++++++++- R/matrixtoGNAR.R | 15 ++++++++++++--- R/simulate.GNARfit.R | 9 ++++++++- data/fiveNode.rda |binary data/gdp.rda |binary data/vswind.rda |binary inst/CHANGES | 10 +++++++++- man/is.GNARnet.Rd | 4 +++- man/matrixtoGNAR.Rd | 2 +- 15 files changed, 90 insertions(+), 36 deletions(-)
Title: Some EM-Type Estimation Methods for the Heckman Selection Model
Description: Some EM-type algorithms to estimate parameters for the well-known Heckman selection model are provided in the package. Such algorithms are as follow: ECM(Expectation/Conditional Maximization), ECM(NR)(the Newton-Raphson method is adapted to the ECM) and ECME(Expectation/Conditional Maximization Either). Since the algorithms are based on the EM algorithm, they also have EM’s main advantages, namely, stability and ease of implementation. Further details and explanations of the algorithms can be found in Zhao et al. (2020) <doi: 10.1016/j.csda.2020.106930>.
Author: Kexuan Yang <717260446@qq.com>, Sang Kyu Lee <leesa111@msu.edu>, Zhao Jun <zhaojun2021@hotmail.com>, and Hyoung-Moon Kim <hmk966a@gmail.com >
Maintainer: Sang Kyu Lee <leesa111@msu.edu>
Diff between EMSS versions 1.0.0 dated 2020-05-29 and 1.0.1 dated 2020-05-31
DESCRIPTION | 6 MD5 | 4 R/EMSS.R | 1932 ++++++++++++++++++++++++++++++------------------------------ 3 files changed, 972 insertions(+), 970 deletions(-)
Title: Bayesian Gaussian Graphical Models
Description: Fit Bayesian Gaussian graphical models. The methods are separated into
two Bayesian approaches for inference: hypothesis testing and estimation. There are
extensions for confirmatory hypothesis testing, comparing Gaussian graphical models,
and node wise predictability. These methods were recently introduced in the Gaussian
graphical model literature, including
Williams (2019) <doi:10.31234/osf.io/x8dpr>,
Williams and Mulder (2019) <doi:10.31234/osf.io/ypxd8>,
Williams, Rast, Pericchi, and Mulder (2019) <doi:10.31234/osf.io/yt386>.
Author: Donald Williams [aut, cre],
Joris Mulder [aut]
Maintainer: Donald Williams <drwwilliams@ucdavis.edu>
Diff between BGGM versions 1.0.0 dated 2020-02-06 and 2.0.0 dated 2020-05-31
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Title: Fit and Compare Species-Area Relationship Models Using
Multimodel Inference
Description: Implements the basic elements of the multi-model
inference paradigm for up to twenty species-area relationship models (SAR), using simple
R list-objects and functions, as in Triantis et al. 2012 <DOI:10.1111/j.1365-2699.2011.02652.x>.
The package is scalable and users can easily create their own model and data objects. Additional
SAR related functions are provided.
Author: Thomas J. Matthews [aut, cre] (<https://orcid.org/0000-0002-7624-244X>),
Francois Guilhaumon [aut] (<https://orcid.org/0000-0003-4707-8932>),
Kevin Cazelles [rev] (<https://orcid.org/0000-0001-6619-9874>)
Maintainer: Thomas J. Matthews <txm676@gmail.com>
Diff between sars versions 1.2.1 dated 2020-01-07 and 1.2.3 dated 2020-05-31
DESCRIPTION | 8 MD5 | 182 ++++----- NAMESPACE | 2 NEWS.md | 18 R/class_plot.R | 102 ++++- R/class_print.R | 28 - R/class_summary.R | 12 R/data_aegean.R | 13 R/data_coleman.R | 2 R/data_galap.R | 15 R/data_niering.R | 15 R/obs_shape.R | 16 R/optim.R | 200 +++++++--- R/sar_asymp.R | 30 - R/sar_average.R | 199 +++++++--- R/sar_betap.R | 28 - R/sar_chapman.R | 28 - R/sar_conf_int.R | 91 ++-- R/sar_epm1.R | 28 - R/sar_epm2.R | 28 - R/sar_gompertz.R | 28 - R/sar_heleg.R | 28 - R/sar_koba.R | 28 - R/sar_linear.R | 7 R/sar_loga.R | 28 - R/sar_mmf.R | 28 - R/sar_monod.R | 28 - R/sar_negexpo.R | 30 - R/sar_p1.R | 28 - R/sar_p2.R | 28 - R/sar_power.R | 28 - R/sar_powerR.R | 28 - R/sar_ratio.R | 28 - R/sar_weibull3.R | 28 - R/sar_weibull4.R | 28 - README.md | 141 +++++-- inst/CITATION | 6 inst/doc/sars-r-package.R | 13 inst/doc/sars-r-package.Rmd | 85 +++- inst/doc/sars-r-package.html | 602 +++++++++++++++++++++---------- inst/model_factory.R | 44 +- inst/non_lin_models/Mod_asymp.R | 2 inst/non_lin_models/Mod_negexpo.R | 2 man/aegean.Rd | 53 +- man/cole_sim.Rd | 46 +- man/coleman.Rd | 108 ++--- man/display_sars_models.Rd | 40 +- man/figures/README-unnamed-chunk-5-1.png |binary man/galap.Rd | 55 +- man/gdm.Rd | 216 +++++------ man/lin_pow.Rd | 140 +++---- man/niering.Rd | 51 +- man/plot.coleman.Rd | 151 ++++--- man/plot.multi.Rd | 329 +++++++++------- man/plot.sars.Rd | 206 +++++----- man/sar_asymp.Rd | 170 ++++---- man/sar_average.Rd | 348 +++++++++-------- man/sar_betap.Rd | 170 ++++---- man/sar_chapman.Rd | 170 ++++---- man/sar_epm1.Rd | 170 ++++---- man/sar_epm2.Rd | 170 ++++---- man/sar_gompertz.Rd | 170 ++++---- man/sar_heleg.Rd | 170 ++++---- man/sar_koba.Rd | 170 ++++---- man/sar_linear.Rd | 128 +++--- man/sar_loga.Rd | 170 ++++---- man/sar_mmf.Rd | 170 ++++---- man/sar_monod.Rd | 170 ++++---- man/sar_multi.Rd | 120 +++--- man/sar_negexpo.Rd | 170 ++++---- man/sar_p1.Rd | 170 ++++---- man/sar_p2.Rd | 170 ++++---- man/sar_power.Rd | 170 ++++---- man/sar_powerR.Rd | 170 ++++---- man/sar_pred.Rd | 130 +++--- man/sar_ratio.Rd | 170 ++++---- man/sar_weibull3.Rd | 170 ++++---- man/sar_weibull4.Rd | 170 ++++---- man/sars-package.Rd | 160 ++++---- man/sars_models.Rd | 28 - man/summary.sars.Rd | 128 +++--- tests/testthat/test_crit_method.R |only tests/testthat/test_grid_start.R |only tests/testthat/test_loga.R | 2 tests/testthat/test_monod.R | 2 tests/testthat/test_multi.R | 16 tests/testthat/test_p2.R | 2 tests/testthat/test_power.R | 14 tests/testthat/test_pred.R | 4 tests/testthat/test_sar_linear.R | 2 tests/testthat/test_shape.R | 4 tests/testthat/test_weibull3.R | 2 vignettes/sars-r-package.Rmd | 85 +++- 93 files changed, 4540 insertions(+), 3601 deletions(-)
Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting including the introduced here Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, Trellis graphics and a built-in help system. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, and generation and rendering of R markdown instructions for interpretative output.
Author: David Gerbing, The School of Business, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>
Diff between lessR versions 3.9.4 dated 2020-05-07 and 3.9.5 dated 2020-05-31
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Title: Smoothed LASSO Regression via Nesterov Smoothing
Description: We provide full functionality to compute smoothed LASSO regression estimates. For this, the LASSO objective function is first smoothed using Nesterov smoothing (see Y. Nesterov (2005) <doi:10.1007/s10107-004-0552-5>), resulting in a modified LASSO objective function with explicit gradients everywhere. The smoothed objective function and its gradient are used to minimize it via BFGS, and the obtained minimizer is returned. Using Nesterov smoothing, the smoothed LASSO objective function can be made arbitrarily close to the original (unsmoothed) one. In particular, the Nesterov approach has the advantage that it comes with explicit accuracy bounds, both on the L1/L2 difference of the unsmoothed to the smoothed LASSO objective function as well as on their respective minimizers. A progressive smoothing approach is provided which iteratively smoothes the LASSO, resulting in more stable regression estimates.
Author: Georg Hahn [aut,cre], Sharon M. Lutz [ctb], Nilanjana Laha [ctb], Christoph Lange [ctb]
Maintainer: Georg Hahn <ghahn@hsph.harvard.edu>
Diff between smoothedLasso versions 1.0 dated 2020-04-03 and 1.1 dated 2020-05-31
DESCRIPTION | 10 +++++----- MD5 | 6 +++--- NAMESPACE | 1 + R/smoothedLasso.r | 7 ++++--- 4 files changed, 13 insertions(+), 11 deletions(-)
Title: Moran Eigenvector-Based Scalable Spatial Additive Mixed Modeling
Description: Functions for estimating Moran eigenvector-based
spatial additive mixed models, and other spatial regression models.
For details see Murakami (2020) <arXiv:1703.04467>.
Author: Daisuke Murakami
Maintainer: Daisuke Murakami <dmuraka@ism.ac.jp>
Diff between spmoran versions 0.2.0 dated 2020-05-20 and 0.2.0-1 dated 2020-05-31
DESCRIPTION | 8 +++---- MD5 | 41 ++++++++++++++++++++------------------- R/plot_qr.R | 2 - R/resf_qr.R | 28 ++++++++++++++++---------- build/vignette.rds |binary inst/doc/boston_sample.pdf |only inst/doc/boston_sample.pdf.asis |only inst/doc/vignettes.pdf |binary inst/doc/vignettes.pdf.asis | 6 ++--- man/besf.Rd | 2 - man/besf_vc.Rd | 2 - man/esf.Rd | 2 - man/lsem.Rd | 2 - man/lslm.Rd | 2 - man/plot_qr.Rd | 2 - man/predict0.Rd | 4 +-- man/predict0_vc.Rd | 4 +-- man/resf.Rd | 2 - man/resf_qr.Rd | 2 - man/resf_vc.Rd | 2 - man/weigen.Rd | 4 +-- vignettes/boston_sample.pdf.asis |only vignettes/vignettes.pdf.asis | 6 ++--- 23 files changed, 65 insertions(+), 56 deletions(-)
Title: Different Tensor Factorization (Decomposition) Techniques for
RDF Tensors (Three-Mode-Tensors)
Description: Different Tensor Factorization techniques suitable for RDF Tensors.
RDF Tensors are three-mode-tensors, binary tensors and usually very sparse.
Currently implemented methods are
'RESCAL' Maximilian Nickel, Volker Tresp, and Hans-Peter Kriegel (2012) <doi:10.1145/2187836.2187874>,
'NMU' Daniel D. Lee and H. Sebastian Seung (1999) <doi:10.1038/44565>,
'ALS', Alternating Least Squares
'parCube' Papalexakis, Evangelos, C. Faloutsos, and N. Sidiropoulos (2012) <doi:10.1007/978-3-642-33460-3_39>,
'CP_APR' C. Chi and T. G. Kolda (2012) <doi.org/10.1137/110859063>.
The code is mostly converted from MATLAB and Python implementations of these methods.
The package also contains functions to get Boolean (Binary) transformation of the real-number-decompositions.
These methods also are for general tensors, so with few modifications they can be applied for other types of tensor.
Author: Abdelmoneim Amer Desouki
Maintainer: Abdelmoneim Amer Desouki <desouki@mail.upb.de>
Diff between RDFTensor versions 1.1 dated 2019-01-11 and 1.2 dated 2020-05-31
DESCRIPTION | 15 ++++++---- MD5 | 32 ++++++++++++++++----- NAMESPACE | 13 ++++++++ NEWS | 11 +++++++ R/RDF2Tensor.R | 58 ++++++++++++++++++++++++++++++++++----- R/RescalReconstructBack.R |only R/recon_1prd_topn_par.R |only R/rescal.R | 35 +++++++++++------------ R/rescal_Trp_Val.R |only R/scRescal.R |only build/partial.rdb |binary build/vignette.rds |only data/umls_tnsr.RData |binary inst/doc |only man/RescalReconstructBack.Rd |only man/inv_rescal_sf_prd_chnkgrp.Rd |only man/recon_1prd_topn_par.Rd |only man/rescal.Rd | 2 - man/rescal_SO_Val.Rd |only man/rescal_Trp_Val.Rd |only man/scRescal.Rd |only man/tensor2mat.Rd |only vignettes |only 23 files changed, 125 insertions(+), 41 deletions(-)
Title: Asymmetric Matrix Plotting in 'ggplot2'
Description: Plots a symmetric matrix with three different fill
aesthetics for the top-left and bottom-right triangles and along the
diagonal. It operates within the Grammar of Graphics paradigm implemented
in 'ggplot2'.
Author: Joshua H Cook [aut, cre] (<https://orcid.org/0000-0001-9815-6879>)
Maintainer: Joshua H Cook <joshuacook0023@gmail.com>
Diff between ggasym versions 0.1.3 dated 2020-04-03 and 0.1.4 dated 2020-05-31
DESCRIPTION | 6 +- MD5 | 26 +++++++----- NEWS.md | 4 + R/asymmetrise.R | 4 - R/asymmetrise_stats.R | 60 ++++++++++++++++++---------- R/utils.R | 2 build/vignette.rds |binary inst/doc/ggasym-corrr.html | 28 ++++++++----- inst/doc/ggasym-stats.html | 46 +++++++++++++-------- man/asymmetrise_stats.Rd | 24 ++++++----- man/figures/README-adj_colorbars-1.png |only man/figures/README-example1-1.png |only man/figures/README-example2-1.png |only man/figures/README-example3-1.png |only man/figures/README-faceting_plot-1.png |only man/figures/README-stats_example_plot-1.png |only tests/testthat/test-asymmetrise_stats.R | 17 +++++-- 17 files changed, 137 insertions(+), 80 deletions(-)
Title: R Interface to the Europe PubMed Central RESTful Web Service
Description: An R Client for the Europe PubMed Central RESTful Web Service
(see <https://europepmc.org/RestfulWebService> for more information). It
gives access to both metadata on life science literature and open access
full texts. Europe PMC indexes all PubMed content and other literature
sources including Agricola, a bibliographic database of citations to the
agricultural literature, or Biological Patents. In addition to bibliographic
metadata, the client allows users to fetch citations and reference lists.
Links between life-science literature and other EBI databases, including
ENA, PDB or ChEMBL are also accessible. No registration or API key is
required. See the vignettes for usage examples.
Author: Najko Jahn [aut, cre, cph],
Maëlle Salmon [ctb]
Maintainer: Najko Jahn <najko.jahn@gmail.com>
Diff between europepmc versions 0.3 dated 2018-04-20 and 0.4 dated 2020-05-31
europepmc-0.3/europepmc/R/epmc_tm.r |only europepmc-0.3/europepmc/R/epmc_tm_count.r |only europepmc-0.3/europepmc/inst/image |only europepmc-0.3/europepmc/inst/imageunnamed-chunk-4-1.png |only europepmc-0.3/europepmc/man/epmc_tm.Rd |only europepmc-0.3/europepmc/man/epmc_tm_count.Rd |only europepmc-0.4/europepmc/DESCRIPTION | 18 europepmc-0.4/europepmc/MD5 | 101 - europepmc-0.4/europepmc/NAMESPACE | 15 europepmc-0.4/europepmc/NEWS.md | 20 europepmc-0.4/europepmc/R/annotations_by_id.R |only europepmc-0.4/europepmc/R/defunct.r | 12 europepmc-0.4/europepmc/R/epmc_citations.r | 4 europepmc-0.4/europepmc/R/epmc_datalinks.r |only europepmc-0.4/europepmc/R/epmc_db.r | 8 europepmc-0.4/europepmc/R/epmc_db_count.r | 2 europepmc-0.4/europepmc/R/epmc_details.r | 9 europepmc-0.4/europepmc/R/epmc_ftxt.r | 20 europepmc-0.4/europepmc/R/epmc_ftxt_book.r | 2 europepmc-0.4/europepmc/R/epmc_hits_trend.R | 5 europepmc-0.4/europepmc/R/epmc_lablinks.r | 4 europepmc-0.4/europepmc/R/epmc_lablinks_count.r | 3 europepmc-0.4/europepmc/R/epmc_profile.r | 2 europepmc-0.4/europepmc/R/epmc_refs.r | 6 europepmc-0.4/europepmc/R/epmc_search.r | 13 europepmc-0.4/europepmc/R/epmc_search_by_doi.r |only europepmc-0.4/europepmc/R/europepmc.r | 13 europepmc-0.4/europepmc/R/utils.r | 48 europepmc-0.4/europepmc/README.md | 117 - europepmc-0.4/europepmc/build/vignette.rds |binary europepmc-0.4/europepmc/inst/doc/evergreenreviewgraphs.R | 12 europepmc-0.4/europepmc/inst/doc/evergreenreviewgraphs.html | 332 ++-- europepmc-0.4/europepmc/inst/doc/introducing-europepmc.R | 41 europepmc-0.4/europepmc/inst/doc/introducing-europepmc.Rmd | 58 europepmc-0.4/europepmc/inst/doc/introducing-europepmc.html | 794 +++++----- europepmc-0.4/europepmc/man/epmc_annotations_by_id.Rd |only europepmc-0.4/europepmc/man/epmc_citations.Rd | 37 europepmc-0.4/europepmc/man/epmc_db.Rd | 43 europepmc-0.4/europepmc/man/epmc_details.Rd | 3 europepmc-0.4/europepmc/man/epmc_ftxt.Rd | 5 europepmc-0.4/europepmc/man/epmc_hits_trend.Rd | 6 europepmc-0.4/europepmc/man/epmc_lablinks.Rd | 9 europepmc-0.4/europepmc/man/epmc_refs.Rd | 34 europepmc-0.4/europepmc/man/epmc_search.Rd | 15 europepmc-0.4/europepmc/man/epmc_search_.Rd | 9 europepmc-0.4/europepmc/man/epmc_search_by_doi.Rd |only europepmc-0.4/europepmc/man/epmc_search_by_doi_.Rd |only europepmc-0.4/europepmc/man/europepmc.Rd | 7 europepmc-0.4/europepmc/man/figures |only europepmc-0.4/europepmc/tests/testthat/test_annotations_by_id.r |only europepmc-0.4/europepmc/tests/testthat/test_epmc_db.r | 10 europepmc-0.4/europepmc/tests/testthat/test_epmc_details.r | 14 europepmc-0.4/europepmc/tests/testthat/test_epmc_ftxt.r | 3 europepmc-0.4/europepmc/tests/testthat/test_epmc_ftxt_book.r | 20 europepmc-0.4/europepmc/tests/testthat/test_epmc_refs.r | 4 europepmc-0.4/europepmc/tests/testthat/test_epmc_search_by_doi.r |only europepmc-0.4/europepmc/tests/testthat/test_epmc_tm.r | 24 europepmc-0.4/europepmc/tests/testthat/test_epmc_tm_count.r | 15 europepmc-0.4/europepmc/vignettes/introducing-europepmc.Rmd | 58 59 files changed, 1032 insertions(+), 943 deletions(-)
More information about TwitterAutomatedTrading at CRAN
Permanent link
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-09-29 0.9.1
2017-07-08 0.9
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-08-04 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-09-16 0.3.2
2017-10-17 0.3.0
2015-04-15 0.2.1
2015-02-05 0.2
2014-12-20 0.1.1
2014-12-06 0.1
Title: Hierarchical Multinomial Processing Tree Modeling
Description: User-friendly analysis of hierarchical multinomial processing tree (MPT)
models that are often used in cognitive psychology. Implements the latent-trait
MPT approach (Klauer, 2010) <DOI:10.1007/s11336-009-9141-0> and the beta-MPT
approach (Smith & Batchelder, 2010) <DOI:10.1016/j.jmp.2009.06.007> to model
heterogeneity of participants. MPT models are conveniently specified by an
.eqn-file as used by other MPT software and data are provided by a .csv-file
or directly in R. Models are either fitted by calling JAGS or by an MPT-tailored
Gibbs sampler in C++ (only for nonhierarchical and beta MPT models). Provides
tests of heterogeneity and MPT-tailored summaries and plotting functions.
A detailed documentation is available in Heck, Arnold, & Arnold (2018)
<DOI:10.3758/s13428-017-0869-7>.
Author: Daniel W. Heck [aut, cre] (<https://orcid.org/0000-0002-6302-9252>),
Nina R. Arnold [aut, dtc],
Denis Arnold [aut],
Alexander Ly [ctb],
Marius Barth [ctb] (<https://orcid.org/0000-0002-3421-6665>)
Maintainer: Daniel W. Heck <dheck@uni-marburg.de>
Diff between TreeBUGS versions 1.4.4 dated 2019-12-05 and 1.4.5 dated 2020-05-31
DESCRIPTION | 10 ++++----- MD5 | 34 ++++++++++++++++----------------- NAMESPACE | 2 - NEWS | 8 +++++++ R/BFslope.R | 23 +++++++++++----------- R/covPredictorHandling.R | 39 +++++++++++++++++++++++++++++++++++++- R/fitBetaMPT.R | 3 +- R/fitTraitMPT.R | 7 ++---- R/plotDistribution.R | 1 R/plotFit.R | 7 +++--- R/posteriorPredictive.R | 10 +++++++-- R/transformedParPosthoc.R | 1 build/vignette.rds |binary inst/doc/TreeBUGS_1_intro.html | 12 ++++------- inst/doc/TreeBUGS_2_extended.html | 12 ++++------- man/arnold2013.Rd | 6 +++-- man/betaMPT.Rd | 3 +- man/traitMPT.Rd | 12 +++++------ 18 files changed, 120 insertions(+), 70 deletions(-)
Title: A Tool Kit for Working with Time Series in R
Description: Easy visualization, wrangling, and preprocessing of time series data for
forecasting and machine learning prediction.
Methods discussed herein are commonplace in machine learning, and have been cited
in various literature. Refer to "Calendar Effects" in papers such as
Taieb, Souhaib Ben. "Machine learning strategies for multi-step-ahead time series
forecasting." Universit Libre de Bruxelles, Belgium (2014): 75-86.
<http://souhaib-bentaieb.com/pdf/2014_phd.pdf>.
Author: Matt Dancho [aut, cre],
Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>
Diff between timetk versions 1.0.0 dated 2020-04-19 and 2.0.0 dated 2020-05-31
timetk-1.0.0/timetk/R/augment-tk_augment_roll_apply.R |only timetk-1.0.0/timetk/R/diagnostics-tk_time_series_cv_plan.R |only timetk-1.0.0/timetk/R/plot-time_series_cv_plan.R |only timetk-1.0.0/timetk/R/recipes-step_impute_ts.R |only timetk-1.0.0/timetk/R/recipes-step_roll_apply.R |only timetk-1.0.0/timetk/R/vec-impute_ts.R |only timetk-1.0.0/timetk/R/vec-roll-apply.R |only timetk-1.0.0/timetk/man/impute_ts_vec.Rd |only timetk-1.0.0/timetk/man/roll_apply_vec.Rd |only timetk-1.0.0/timetk/man/step_impute_ts.Rd |only timetk-1.0.0/timetk/man/step_roll_apply.Rd |only timetk-1.0.0/timetk/man/tk_augment_roll_apply.Rd |only timetk-1.0.0/timetk/tests/testthat/test_recipes-step_timeseries_signature.R |only timetk-1.0.0/timetk/tests/testthat/test_tk_augment_timeseries.R |only timetk-1.0.0/timetk/tests/testthat/test_tk_get_timeseries.R |only timetk-1.0.0/timetk/tests/testthat/test_tk_index.R |only timetk-1.0.0/timetk/tests/testthat/test_tk_make_future_timeseries.R |only timetk-1.0.0/timetk/tests/testthat/test_tk_tbl.R |only timetk-1.0.0/timetk/tests/testthat/test_tk_ts.R |only timetk-1.0.0/timetk/tests/testthat/test_tk_xts.R |only timetk-1.0.0/timetk/tests/testthat/test_tk_zoo.R |only timetk-1.0.0/timetk/tests/testthat/test_tk_zooreg.R |only timetk-2.0.0/timetk/DESCRIPTION | 18 timetk-2.0.0/timetk/MD5 | 225 +-- timetk-2.0.0/timetk/NAMESPACE | 61 timetk-2.0.0/timetk/NEWS.md | 95 + timetk-2.0.0/timetk/R/00_global_vars.R | 7 timetk-2.0.0/timetk/R/augment-tk_augment_differences.R | 3 timetk-2.0.0/timetk/R/augment-tk_augment_fourier.R | 2 timetk-2.0.0/timetk/R/augment-tk_augment_holiday_signature.R | 2 timetk-2.0.0/timetk/R/augment-tk_augment_lags.R | 2 timetk-2.0.0/timetk/R/augment-tk_augment_slidify.R |only timetk-2.0.0/timetk/R/augment-tk_augment_timeseries.R | 2 timetk-2.0.0/timetk/R/diagnostics-tk_acf_diagnostics.R | 59 timetk-2.0.0/timetk/R/diagnostics-tk_anomaly_diagnostics.R |only timetk-2.0.0/timetk/R/diagnostics-tk_stl_diagnostics.R | 1 timetk-2.0.0/timetk/R/dplyr-future_frame.R |only timetk-2.0.0/timetk/R/dplyr-pad_by_time.R | 41 timetk-2.0.0/timetk/R/dplyr-slidify.R | 8 timetk-2.0.0/timetk/R/get-tk_get_timeseries.R | 13 timetk-2.0.0/timetk/R/index-tk_index.R | 46 timetk-2.0.0/timetk/R/lubridate-date_parsers.R |only timetk-2.0.0/timetk/R/make-tk_make_timeseries.R | 15 timetk-2.0.0/timetk/R/make-tk_make_timeseries_future.R | 626 +++++++--- timetk-2.0.0/timetk/R/plot-acf_diagnostics.R | 43 timetk-2.0.0/timetk/R/plot-anomaly_diagnostics.R |only timetk-2.0.0/timetk/R/plot-seasonal_diagnostics.R | 4 timetk-2.0.0/timetk/R/plot-stl_diagnostics.R | 2 timetk-2.0.0/timetk/R/plot-time_series.R | 7 timetk-2.0.0/timetk/R/recipes-step_box_cox.R | 6 timetk-2.0.0/timetk/R/recipes-step_diff.R | 12 timetk-2.0.0/timetk/R/recipes-step_fourier.R | 5 timetk-2.0.0/timetk/R/recipes-step_holiday_signature.R | 5 timetk-2.0.0/timetk/R/recipes-step_slidify.R |only timetk-2.0.0/timetk/R/recipes-step_smooth.R | 16 timetk-2.0.0/timetk/R/recipes-step_timeseries_signature.R | 5 timetk-2.0.0/timetk/R/recipes-step_ts_clean.R |only timetk-2.0.0/timetk/R/recipes-step_ts_impute.R |only timetk-2.0.0/timetk/R/recipes-step_ts_pad.R |only timetk-2.0.0/timetk/R/rsample-plot_time_series_cv_plan.R |only timetk-2.0.0/timetk/R/rsample-time_series_cv.R | 165 +- timetk-2.0.0/timetk/R/rsample-tk_time_series_cv_plan.R |only timetk-2.0.0/timetk/R/utils-dates.R | 15 timetk-2.0.0/timetk/R/vec-box_cox.R | 4 timetk-2.0.0/timetk/R/vec-diff.R | 50 timetk-2.0.0/timetk/R/vec-fourier.R | 4 timetk-2.0.0/timetk/R/vec-lag.R | 10 timetk-2.0.0/timetk/R/vec-normalize.R |only timetk-2.0.0/timetk/R/vec-slidify.R |only timetk-2.0.0/timetk/R/vec-smooth.R | 8 timetk-2.0.0/timetk/R/vec-standardize.R |only timetk-2.0.0/timetk/R/vec-ts_clean.R |only timetk-2.0.0/timetk/R/vec-ts_impute.R |only timetk-2.0.0/timetk/README.md | 43 timetk-2.0.0/timetk/inst/doc/TK03_Forecasting_Using_Time_Series_Signature.R | 2 timetk-2.0.0/timetk/inst/doc/TK03_Forecasting_Using_Time_Series_Signature.Rmd | 2 timetk-2.0.0/timetk/inst/doc/TK03_Forecasting_Using_Time_Series_Signature.html | 12 timetk-2.0.0/timetk/inst/doc/TK04_Plotting_Time_Series.R | 11 timetk-2.0.0/timetk/inst/doc/TK04_Plotting_Time_Series.Rmd | 23 timetk-2.0.0/timetk/inst/doc/TK04_Plotting_Time_Series.html | 100 - timetk-2.0.0/timetk/inst/doc/TK05_Plotting_Seasonality_and_Correlation.R | 4 timetk-2.0.0/timetk/inst/doc/TK05_Plotting_Seasonality_and_Correlation.Rmd | 4 timetk-2.0.0/timetk/inst/doc/TK05_Plotting_Seasonality_and_Correlation.html | 4 timetk-2.0.0/timetk/inst/doc/TK07_Time_Series_Data_Wrangling.R | 6 timetk-2.0.0/timetk/inst/doc/TK07_Time_Series_Data_Wrangling.Rmd | 12 timetk-2.0.0/timetk/inst/doc/TK07_Time_Series_Data_Wrangling.html | 16 timetk-2.0.0/timetk/man/box_cox_vec.Rd | 4 timetk-2.0.0/timetk/man/diff_vec.Rd | 30 timetk-2.0.0/timetk/man/figures/README-unnamed-chunk-4-1.png |binary timetk-2.0.0/timetk/man/figures/README-unnamed-chunk-5-1.png |binary timetk-2.0.0/timetk/man/figures/README-unnamed-chunk-6-1.png |only timetk-2.0.0/timetk/man/fourier_vec.Rd | 4 timetk-2.0.0/timetk/man/future_frame.Rd |only timetk-2.0.0/timetk/man/is_date_class.Rd |only timetk-2.0.0/timetk/man/lag_vec.Rd | 12 timetk-2.0.0/timetk/man/normalize_vec.Rd |only timetk-2.0.0/timetk/man/pad_by_time.Rd | 6 timetk-2.0.0/timetk/man/parse_date2.Rd |only timetk-2.0.0/timetk/man/plot_acf_diagnostics.Rd | 27 timetk-2.0.0/timetk/man/plot_anomaly_diagnostics.Rd |only timetk-2.0.0/timetk/man/plot_time_series_cv_plan.Rd | 20 timetk-2.0.0/timetk/man/slidify.Rd | 8 timetk-2.0.0/timetk/man/slidify_vec.Rd |only timetk-2.0.0/timetk/man/smooth_vec.Rd | 8 timetk-2.0.0/timetk/man/standardize_vec.Rd |only timetk-2.0.0/timetk/man/step_box_cox.Rd | 5 timetk-2.0.0/timetk/man/step_diff.Rd | 5 timetk-2.0.0/timetk/man/step_fourier.Rd | 5 timetk-2.0.0/timetk/man/step_holiday_signature.Rd | 5 timetk-2.0.0/timetk/man/step_slidify.Rd |only timetk-2.0.0/timetk/man/step_smooth.Rd | 14 timetk-2.0.0/timetk/man/step_timeseries_signature.Rd | 5 timetk-2.0.0/timetk/man/step_ts_clean.Rd |only timetk-2.0.0/timetk/man/step_ts_impute.Rd |only timetk-2.0.0/timetk/man/step_ts_pad.Rd |only timetk-2.0.0/timetk/man/time_series_cv.Rd | 92 - timetk-2.0.0/timetk/man/tk_acf_diagnostics.Rd | 15 timetk-2.0.0/timetk/man/tk_anomaly_diagnostics.Rd |only timetk-2.0.0/timetk/man/tk_augment_differences.Rd | 2 timetk-2.0.0/timetk/man/tk_augment_fourier.Rd | 2 timetk-2.0.0/timetk/man/tk_augment_holiday.Rd | 2 timetk-2.0.0/timetk/man/tk_augment_lags.Rd | 2 timetk-2.0.0/timetk/man/tk_augment_slidify.Rd |only timetk-2.0.0/timetk/man/tk_augment_timeseries.Rd | 2 timetk-2.0.0/timetk/man/tk_make_future_timeseries.Rd | 55 timetk-2.0.0/timetk/man/tk_stl_diagnostics.Rd | 10 timetk-2.0.0/timetk/man/tk_time_series_cv_plan.Rd | 6 timetk-2.0.0/timetk/man/ts_clean_vec.Rd |only timetk-2.0.0/timetk/man/ts_impute_vec.Rd |only timetk-2.0.0/timetk/tests/testthat/test-recipes-step_timeseries_signature.R |only timetk-2.0.0/timetk/tests/testthat/test-tk_augment_timeseries.R |only timetk-2.0.0/timetk/tests/testthat/test-tk_get_timeseries.R |only timetk-2.0.0/timetk/tests/testthat/test-tk_index.R |only timetk-2.0.0/timetk/tests/testthat/test-tk_make_timeseries.R |only timetk-2.0.0/timetk/tests/testthat/test-tk_make_timeseries_future-OLD.R |only timetk-2.0.0/timetk/tests/testthat/test-tk_make_timeseries_future.R |only timetk-2.0.0/timetk/tests/testthat/test-tk_tbl.R |only timetk-2.0.0/timetk/tests/testthat/test-tk_ts.R |only timetk-2.0.0/timetk/tests/testthat/test-tk_xts.R |only timetk-2.0.0/timetk/tests/testthat/test-tk_zoo.R |only timetk-2.0.0/timetk/tests/testthat/test-tk_zooreg.R |only timetk-2.0.0/timetk/vignettes/TK03_Forecasting_Using_Time_Series_Signature.Rmd | 2 timetk-2.0.0/timetk/vignettes/TK04_Plotting_Time_Series.Rmd | 23 timetk-2.0.0/timetk/vignettes/TK05_Plotting_Seasonality_and_Correlation.Rmd | 4 timetk-2.0.0/timetk/vignettes/TK07_Time_Series_Data_Wrangling.Rmd | 12 timetk-2.0.0/timetk/vignettes/temp_archive/TK02_Time_Series_Date_Sequences.Rmd | 4 timetk-2.0.0/timetk/vignettes/temp_archive/TK08_Automatic_Anomaly_Detection.Rmd |only 147 files changed, 1405 insertions(+), 812 deletions(-)
Title: Handling Taxonomic Lists
Description: Handling taxonomic lists through objects of class 'taxlist'.
This package provides functions to import species lists from 'Turboveg'
(<https://www.synbiosys.alterra.nl/turboveg>) and the possibility to create
backups from resulting R-objects.
Also quick displays are implemented as summary-methods.
Author: Miguel Alvarez [aut, cre] (<https://orcid.org/0000-0003-1500-1834>),
Zachary Foster [ctb] (<https://orcid.org/0000-0002-5075-0948>)
Maintainer: Miguel Alvarez <kamapu78@gmail.com>
Diff between taxlist versions 0.1.8 dated 2020-04-29 and 0.1.9 dated 2020-05-31
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- NEWS.md | 10 +++++++++- R/taxlist-class.R | 3 ++- data/Easplist.rda |binary inst/doc/taxlist-intro.html | 16 ++++++++-------- 6 files changed, 27 insertions(+), 18 deletions(-)
Title: Dynamic Documents for R
Description: Convert R Markdown documents into a variety of formats.
Author: JJ Allaire [aut],
Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>),
Jonathan McPherson [aut],
Javier Luraschi [aut],
Kevin Ushey [aut],
Aron Atkins [aut],
Hadley Wickham [aut],
Joe Cheng [aut],
Winston Chang [aut],
Richard Iannone [aut] (<https://orcid.org/0000-0003-3925-190X>),
Andrew Dunning [ctb] (<https://orcid.org/0000-0003-0464-5036>),
Atsushi Yasumoto [ctb] (<https://orcid.org/0000-0002-8335-495X>),
Barret Schloerke [ctb],
Christophe Dervieux [ctb],
Frederik Aust [ctb] (<https://orcid.org/0000-0003-4900-788X>),
Jeff Allen [ctb],
JooYoung Seo [ctb] (<https://orcid.org/0000-0002-4064-6012>),
Malcolm Barrett [ctb],
Rob Hyndman [ctb],
Romain Lesur [ctb],
Roy Storey [ctb],
Ruben Arslan [ctb],
Sergio Oller [ctb],
RStudio, PBC [cph],
jQuery Foundation [cph] (jQuery library),
jQuery contributors [ctb, cph] (jQuery library; authors listed in
inst/rmd/h/jquery-AUTHORS.txt),
jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in
inst/rmd/h/jqueryui-AUTHORS.txt),
Mark Otto [ctb] (Bootstrap library),
Jacob Thornton [ctb] (Bootstrap library),
Bootstrap contributors [ctb] (Bootstrap library),
Twitter, Inc [cph] (Bootstrap library),
Alexander Farkas [ctb, cph] (html5shiv library),
Scott Jehl [ctb, cph] (Respond.js library),
Ivan Sagalaev [ctb, cph] (highlight.js library),
Greg Franko [ctb, cph] (tocify library),
John MacFarlane [ctb, cph] (Pandoc templates),
Google, Inc. [ctb, cph] (ioslides library),
Dave Raggett [ctb] (slidy library),
W3C [cph] (slidy library),
Dave Gandy [ctb, cph] (Font-Awesome),
Ben Sperry [ctb] (Ionicons),
Drifty [cph] (Ionicons),
Aidan Lister [ctb, cph] (jQuery StickyTabs),
Benct Philip Jonsson [ctb, cph] (pagebreak lua filter),
Albert Krewinkel [ctb, cph] (pagebreak lua filter)
Maintainer: Yihui Xie <xie@yihui.name>
Diff between rmarkdown versions 2.1 dated 2020-01-20 and 2.2 dated 2020-05-31
DESCRIPTION | 14 ++-- MD5 | 99 ++++++++++++++++--------------- NAMESPACE | 2 NEWS.md | 32 ++++++++++ R/beamer_presentation.R | 5 - R/context_document.R | 3 R/html_document.R | 8 -- R/html_document_base.R | 11 +-- R/html_fragment.R | 3 R/html_notebook.R | 2 R/html_paged.R | 20 +++++- R/html_resources.R | 2 R/html_vignette.R | 20 ++++++ R/ioslides_presentation.R | 5 + R/output_format.R | 7 -- R/pandoc.R | 88 ++++++++++++++++++--------- R/pdf_document.R | 35 ++++++++-- R/powerpoint_presentation.R | 5 - R/render.R | 40 ++++++------ R/render_html.R | 12 +-- R/render_site.R | 13 +--- R/slidy_presentation.R | 5 - R/tufte_handout.R | 2 R/word_document.R | 8 -- README.md | 2 build/vignette.rds |binary inst/doc/lua-filters.html | 54 ++++++++-------- inst/rmd/h/default.html | 8 ++ inst/rmd/h/navigation-1.1/codefolding.js | 4 - inst/rmd/lua/latex-div.lua | 26 +++++--- man/beamer_presentation.Rd | 10 +-- man/context_document.Rd | 8 +- man/find_pandoc.Rd |only man/html_document.Rd | 5 - man/html_document_base.Rd | 9 -- man/html_fragment.Rd | 5 - man/html_notebook.Rd | 5 - man/metadata.Rd | 4 - man/odt_document.Rd | 4 - man/paged_table.Rd | 20 +++++- man/pandoc_args.Rd | 3 man/pandoc_convert.Rd | 4 - man/pdf_document.Rd | 15 ++-- man/powerpoint_presentation.Rd | 5 - man/slidy_presentation.Rd | 11 --- man/tufte_handout.Rd | 6 + man/word_document.Rd | 5 - tests/testthat/test-notebook.R | 23 +++++++ tests/testthat/test-output_format.R |only tests/testthat/test-site.R | 6 - tests/testthat/test-spin.R |only tests/testthat/test-utils.R |only tests/testthat/test-vignette.R |only 53 files changed, 403 insertions(+), 280 deletions(-)
Title: Miscellaneous Functions for Data Cleaning and Analysis
Description: Provides functions needed for data cleaning and
formatting and forms data cleaning and wrangling backend for the
following packages: 'broomExtra', 'ggstatsplot', 'groupedstats',
'pairwiseComparisons', 'statsExpressions', and 'tidyBF'.
Author: Indrajeet Patil [aut, cre, cph]
(<https://orcid.org/0000-0003-1995-6531>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>
Diff between ipmisc versions 2.0.0 dated 2020-04-11 and 3.0.0 dated 2020-05-31
ipmisc-2.0.0/ipmisc/R/helpers_messages.R |only ipmisc-2.0.0/ipmisc/R/sort_xy.R |only ipmisc-2.0.0/ipmisc/data/movies_long.rdata |only ipmisc-2.0.0/ipmisc/data/movies_wide.rdata |only ipmisc-2.0.0/ipmisc/man/bartlett_message.Rd |only ipmisc-2.0.0/ipmisc/man/movies_long.Rd |only ipmisc-2.0.0/ipmisc/man/movies_wide.Rd |only ipmisc-2.0.0/ipmisc/man/normality_message.Rd |only ipmisc-2.0.0/ipmisc/man/sort_xy.Rd |only ipmisc-2.0.0/ipmisc/tests/testthat/test-helper_messages.R |only ipmisc-2.0.0/ipmisc/tests/testthat/test-sort_xy.R |only ipmisc-3.0.0/ipmisc/DESCRIPTION | 15 +- ipmisc-3.0.0/ipmisc/MD5 | 21 --- ipmisc-3.0.0/ipmisc/NAMESPACE | 9 - ipmisc-3.0.0/ipmisc/NEWS.md | 10 + ipmisc-3.0.0/ipmisc/R/data.R | 76 -------------- ipmisc-3.0.0/ipmisc/inst/WORDLIST | 7 - 17 files changed, 23 insertions(+), 115 deletions(-)
Title: Disequilibrium Models
Description: Estimate, summarize, and perform predictions with the market in
disequilibrium model, as found in Gourieroux, C. (2000) <doi:10.1017/CBO9780511805608> and
Maddala, G. (1983) <doi:10.1017/CBO9780511810176>. The parameters are estimated with maximum likelihood.
Author: Nate Latshaw [aut, cre],
Michael Guggisberg [aut],
Institute for Defense Analyses [cph]
Maintainer: Nate Latshaw <dcms2015@gmail.com>
Diff between Disequilibrium versions 1.0 dated 2020-01-20 and 1.1 dated 2020-05-31
DESCRIPTION | 19 - MD5 | 40 +- NAMESPACE | 6 R/Disequilibrium.R | 690 +++++++++++++++++++++++++++++++++++----- README.md |only build |only data |only inst |only man/DE.Rd | 70 ++-- man/DllhoodDatanhrho.Rd | 2 man/DllhoodDbeta1.Rd | 2 man/DllhoodDlogsigma11.Rd | 2 man/GetDeltaMethodParameters.Rd |only man/GradientDE.Rd | 6 man/LLikelihoodDE.Rd | 17 man/TransformSigma_PDtoR2.Rd |only man/TransformSigma_R2toPD.Rd |only man/estfun.DE.Rd |only man/fjdata.Rd |only man/nGradientDE.Rd | 6 man/nLLikelihoodDE.Rd |only man/nobs.DE.Rd |only man/predict.DE.Rd | 4 man/residuals.DE.Rd |only man/summary.DE.Rd | 6 man/vcov.DE.Rd |only vignettes |only 27 files changed, 722 insertions(+), 148 deletions(-)
More information about Disequilibrium at CRAN
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