Title: Create Beautiful, Simple Personal Websites
Description: A collection of R Markdown templates for creating simple and easy
to personalize single page websites.
Author: Sean Kross [aut, cre] (<https://orcid.org/0000-0001-5215-0316>)
Maintainer: Sean Kross <sean@seankross.com>
Diff between postcards versions 0.2.2 dated 2021-07-31 and 0.2.3 dated 2022-01-06
postcards-0.2.2/postcards/man/jolla_blue.Rd |only postcards-0.2.2/postcards/man/onofre.Rd |only postcards-0.2.2/postcards/man/solana.Rd |only postcards-0.2.2/postcards/man/trestles.Rd |only postcards-0.2.3/postcards/DESCRIPTION | 12 +- postcards-0.2.3/postcards/LICENSE |only postcards-0.2.3/postcards/MD5 | 21 +--- postcards-0.2.3/postcards/NEWS.md | 5 + postcards-0.2.3/postcards/R/postcards.R | 48 ++++------ postcards-0.2.3/postcards/inst/pandoc_templates/jolla-blue.html | 2 postcards-0.2.3/postcards/inst/pandoc_templates/jolla.html | 2 postcards-0.2.3/postcards/inst/pandoc_templates/onofre.html | 4 postcards-0.2.3/postcards/inst/pandoc_templates/trestles.html | 4 postcards-0.2.3/postcards/man/jolla.Rd | 20 +++- 14 files changed, 63 insertions(+), 55 deletions(-)
Title: Calculate the 'Grantham' Distance
Description: A minimal set of routines to calculate the 'Grantham' distance
<doi:10.1126/science.185.4154.862>. The 'Grantham' distance attempts to
provide a proxy for the evolutionary distance between two amino acids
based on three key chemical properties: composition, polarity and
molecular volume. In turn, evolutionary distance is used as a proxy for
the impact of missense mutations. The higher the distance, the more
deleterious the substitution is expected to be.
Author: Ramiro Magno [aut, cre] (<https://orcid.org/0000-0001-5226-3441>),
Isabel Duarte [aut] (<https://orcid.org/0000-0003-0060-2936>),
Ana-Teresa Maia [aut] (<https://orcid.org/0000-0002-0454-9207>),
CINTESIS [cph, fnd]
Maintainer: Ramiro Magno <ramiro.magno@gmail.com>
Diff between grantham versions 0.1.0 dated 2021-12-20 and 0.1.1 dated 2022-01-06
DESCRIPTION | 8 ++++---- MD5 | 21 +++++++++++++-------- NAMESPACE | 2 ++ NEWS.md |only R/as_one_letter.R |only R/as_three_letter.R |only R/grantham_distance.R | 2 +- R/sysdata.rda |binary README.md | 13 +++++++++++-- build/partial.rdb |binary inst/WORDLIST | 7 +++++++ man/as_one_letter.Rd |only man/as_three_letter.Rd |only man/grantham_equation.Rd | 2 +- 14 files changed, 39 insertions(+), 16 deletions(-)
Title: R Interface to 'Quarto' Markdown Publishing System
Description: Convert R Markdown documents and 'Jupyter' notebooks to a variety of
output formats using 'Quarto'.
Author: JJ Allaire [aut, cre] (<https://orcid.org/0000-0003-0174-9868>)
Maintainer: JJ Allaire <jj@rstudio.com>
Diff between quarto versions 1.0 dated 2021-08-06 and 1.1 dated 2022-01-06
quarto-1.0/quarto/R/serve.R |only quarto-1.0/quarto/man/quarto_run.Rd |only quarto-1.1/quarto/DESCRIPTION | 6 quarto-1.1/quarto/MD5 | 18 quarto-1.1/quarto/NAMESPACE | 2 quarto-1.1/quarto/R/daemon.R | 14 quarto-1.1/quarto/R/preview.R | 77 - quarto-1.1/quarto/R/run.R | 22 quarto-1.1/quarto/man/quarto_preview.Rd | 41 quarto-1.1/quarto/man/quarto_serve.Rd | 52 quarto-1.1/quarto/tests/testthat/test.html | 2162 ++++++++++++++++++++++++++++- 11 files changed, 2250 insertions(+), 144 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-10-11 1.3.4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-10-28 0.1.0
Title: Simulate Agricultural Production and Evolution of Pesticide
Resistance
Description: Simulates individual-based models of agricultural pest management
and the evolution of pesticide resistance. Management occurs on a spatially
explicit landscape that is divided into an arbitrary number of farms that
can grow one of up to 10 crops and apply one of up to 10 pesticides. Pest
genomes are modelled in a way that allows for any number of pest traits with
an arbitrary covariance structure that is constructed using an evolutionary
algorithm in the mine_gmatrix() function. Simulations are then run using the
run_farm_sim() function. This package thereby allows for highly mechanistic
social-ecological models of the evolution of pesticide resistance under
different types of crop rotation and pesticide application regimes.
Author: A. Bradley Duthie [aut, cre] (<https://orcid.org/0000-0001-8343-4995>),
Rose McKeon [aut, ctr],
Rosie Mangan [ctr],
Luc Bussiére [ctr],
Matthew Tinsley [ctr]
Maintainer: A. Bradley Duthie <brad.duthie@gmail.com>
Diff between resevol versions 0.2.0.8 dated 2021-10-05 and 0.2.0.9 dated 2022-01-06
DESCRIPTION | 6 - MD5 | 34 ++++----- R/mine_gmatrix.R | 4 - R/sim_farming.R | 6 - build/vignette.rds |binary inst/doc/evolutionary_algorithm.html | 44 ++++++------ man/mine_gmatrix.Rd | 4 - man/run_farm_sim.Rd | 6 - src/feeding.c | 2 src/land_change.c | 4 - src/landscape.c | 10 +- src/mine_gmatrix.c | 122 +++++++++++++++++------------------ src/movement.c | 2 src/parents.c | 54 +++++++-------- src/pesticide.c | 2 src/sim_farming.c | 26 +++---- src/statistics.c | 6 - src/utilities.c | 6 - 18 files changed, 169 insertions(+), 169 deletions(-)
Title: Effect Displays for Linear, Generalized Linear, and Other Models
Description: Graphical and tabular effect displays, e.g., of interactions, for
various statistical models with linear predictors.
Author: John Fox [aut, cre],
Sanford Weisberg [aut],
Brad Price [aut],
Michael Friendly [aut],
Jangman Hong [aut],
Robert Andersen [ctb],
David Firth [ctb],
Steve Taylor [ctb],
R Core Team [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>
Diff between effects versions 4.2-0 dated 2020-08-11 and 4.2-1 dated 2022-01-06
DESCRIPTION | 14 MD5 | 29 NEWS | 736 ++++++++++---------- R/Effect.R | 20 R/plot-methods.R | 8 build/partial.rdb |only build/vignette.rds |binary inst/CITATION | 149 +--- inst/doc/methods-supported-by-effects.pdf |binary inst/doc/partial-residuals.pdf |binary inst/doc/predictor-effects-gallery.R | 2 inst/doc/predictor-effects-gallery.Rnw | 2 inst/doc/predictor-effects-gallery.pdf |binary man/effect.Rd | 1072 +++++++++++++++--------------- man/effects-package.Rd | 163 ++-- vignettes/predictor-effects-gallery.Rnw | 2 16 files changed, 1105 insertions(+), 1092 deletions(-)
Title: Time Series and Econometric Modeling
Description: Time series analysis, (dis)aggregation and manipulation, e.g. time series extension, merge, projection, lag, lead, delta, moving and cumulative average and product, selection by index, date and year-period, conversion to daily, monthly, quarterly, (semi)annually. Simultaneous equation models definition, estimation, simulation and forecasting with coefficient restrictions, error autocorrelation, exogenization, add-factors, impact and interim multipliers analysis, conditional equation evaluation, endogenous targeting and model renormalization, structural stability, stochastic simulation and forecast, optimal control.
Author: Andrea Luciani [aut, cre] (<https://orcid.org/0000-0002-7372-358X>),
Roberto Stok [aut],
Bank of Italy [cph]
Maintainer: Andrea Luciani <andrea.luciani@bancaditalia.it>
Diff between bimets versions 1.5.3 dated 2021-02-04 and 2.0.1 dated 2022-01-06
bimets-1.5.3/bimets/man/figures/Thumbs.db |only bimets-2.0.1/bimets/DESCRIPTION | 14 bimets-2.0.1/bimets/MD5 | 195 bimets-2.0.1/bimets/NEWS.md | 64 bimets-2.0.1/bimets/R/bimets_model_functions.R | 2392 ++++++++++-- bimets-2.0.1/bimets/R/bimets_ts_functions.R | 130 bimets-2.0.1/bimets/README.md | 209 - bimets-2.0.1/bimets/build/vignette.rds |binary bimets-2.0.1/bimets/data/bimets_12F_YP2D__.RData |binary bimets-2.0.1/bimets/data/bimets_12L_YP2D__.RData |binary bimets-2.0.1/bimets/data/bimets_12_D2YP__.RData |binary bimets-2.0.1/bimets/data/bimets_1F_YP2D__.RData |binary bimets-2.0.1/bimets/data/bimets_1L_YP2D__.RData |binary bimets-2.0.1/bimets/data/bimets_1_D2YP__.RData |binary bimets-2.0.1/bimets/data/bimets_24F_YP2D__.RData |binary bimets-2.0.1/bimets/data/bimets_24L_YP2D__.RData |binary bimets-2.0.1/bimets/data/bimets_24_D2YP__.RData |binary bimets-2.0.1/bimets/data/bimets_2F_YP2D__.RData |binary bimets-2.0.1/bimets/data/bimets_2L_YP2D__.RData |binary bimets-2.0.1/bimets/data/bimets_2_D2YP__.RData |binary bimets-2.0.1/bimets/data/bimets_366_D2YP__.RData |binary bimets-2.0.1/bimets/data/bimets_366_YP2D__.RData |binary bimets-2.0.1/bimets/data/bimets_36F_YP2D__.RData |binary bimets-2.0.1/bimets/data/bimets_36L_YP2D__.RData |binary bimets-2.0.1/bimets/data/bimets_36_D2YP__.RData |binary bimets-2.0.1/bimets/data/bimets_3F_YP2D__.RData |binary bimets-2.0.1/bimets/data/bimets_3L_YP2D__.RData |binary bimets-2.0.1/bimets/data/bimets_3_D2YP__.RData |binary bimets-2.0.1/bimets/data/bimets_4F_YP2D__.RData |binary bimets-2.0.1/bimets/data/bimets_4L_YP2D__.RData |binary bimets-2.0.1/bimets/data/bimets_4_D2YP__.RData |binary bimets-2.0.1/bimets/data/bimets_53F_YP2D__.RData |binary bimets-2.0.1/bimets/data/bimets_53L_YP2D__.RData |binary bimets-2.0.1/bimets/data/bimets_53_D2YP__.RData |binary bimets-2.0.1/bimets/data/bimets_static_G90__.RData |binary bimets-2.0.1/bimets/data/bimets_static_TD90__.RData |binary bimets-2.0.1/bimets/data/bimets_static_startYear___.RData |binary bimets-2.0.1/bimets/data/bimets_static_totalLength___.RData |binary bimets-2.0.1/bimets/inst/doc/bimets.R | 504 +- bimets-2.0.1/bimets/inst/doc/bimets.Rnw | 640 ++- bimets-2.0.1/bimets/inst/doc/bimets.pdf |binary bimets-2.0.1/bimets/man/A1D.Rd | 12 bimets-2.0.1/bimets/man/ANNUAL.Rd | 12 bimets-2.0.1/bimets/man/CUMPROD.Rd | 10 bimets-2.0.1/bimets/man/CUMSUM.Rd | 12 bimets-2.0.1/bimets/man/DAILY.Rd | 4 bimets-2.0.1/bimets/man/ELIMELS.Rd | 2 bimets-2.0.1/bimets/man/ESTIMATE.Rd | 56 bimets-2.0.1/bimets/man/GETDATE.Rd | 36 bimets-2.0.1/bimets/man/GETYEARPERIOD.Rd | 164 bimets-2.0.1/bimets/man/INDEXNUM.Rd | 8 bimets-2.0.1/bimets/man/INTS.Rd | 8 bimets-2.0.1/bimets/man/LOAD_MODEL.Rd | 28 bimets-2.0.1/bimets/man/LOAD_MODEL_DATA.Rd | 25 bimets-2.0.1/bimets/man/LOCS.Rd | 10 bimets-2.0.1/bimets/man/MDL.Rd | 81 bimets-2.0.1/bimets/man/MONTHLY.Rd | 4 bimets-2.0.1/bimets/man/MOVAVG.Rd | 12 bimets-2.0.1/bimets/man/MOVTOT.Rd | 14 bimets-2.0.1/bimets/man/MULTMATRIX.Rd | 103 bimets-2.0.1/bimets/man/NAMELIST.Rd | 8 bimets-2.0.1/bimets/man/NOELS.Rd | 6 bimets-2.0.1/bimets/man/NUMPERIOD.Rd | 2 bimets-2.0.1/bimets/man/OPTIMIZE.Rd |only bimets-2.0.1/bimets/man/QUARTERLY.Rd | 12 bimets-2.0.1/bimets/man/RENORM.Rd | 148 bimets-2.0.1/bimets/man/SEMIANNUAL.Rd | 120 bimets-2.0.1/bimets/man/SIMULATE.Rd | 179 bimets-2.0.1/bimets/man/STOCHSIMULATE.Rd |only bimets-2.0.1/bimets/man/TABIT.Rd | 28 bimets-2.0.1/bimets/man/TSDELTA.Rd | 6 bimets-2.0.1/bimets/man/TSDELTALOG.Rd | 6 bimets-2.0.1/bimets/man/TSDELTAP.Rd | 8 bimets-2.0.1/bimets/man/TSERIES.Rd | 42 bimets-2.0.1/bimets/man/TSEXTEND.Rd | 28 bimets-2.0.1/bimets/man/TSINFO.Rd | 14 bimets-2.0.1/bimets/man/TSJOIN.Rd | 28 bimets-2.0.1/bimets/man/TSLAG.Rd | 12 bimets-2.0.1/bimets/man/TSLEAD.Rd | 6 bimets-2.0.1/bimets/man/TSLOOK.Rd | 4 bimets-2.0.1/bimets/man/TSMERGE.Rd | 26 bimets-2.0.1/bimets/man/TSPROJECT.Rd | 2 bimets-2.0.1/bimets/man/TSTRIM.Rd | 12 bimets-2.0.1/bimets/man/as.bimets.Rd | 40 bimets-2.0.1/bimets/man/bimets-package.Rd | 550 +- bimets-2.0.1/bimets/man/bimetsConf.Rd | 18 bimets-2.0.1/bimets/man/bimetsDataset.Rd | 4 bimets-2.0.1/bimets/man/figures/KleinGNP.png |binary bimets-2.0.1/bimets/man/figures/OptKlein.png |only bimets-2.0.1/bimets/man/figures/StochKleinGNP.png |only bimets-2.0.1/bimets/man/frequency.Rd | 16 bimets-2.0.1/bimets/man/fromBIMETStoTS.Rd | 14 bimets-2.0.1/bimets/man/fromBIMETStoXTS.Rd | 17 bimets-2.0.1/bimets/man/fromTStoXTS.Rd | 31 bimets-2.0.1/bimets/man/fromXTStoTS.Rd | 52 bimets-2.0.1/bimets/man/idxOver.Rd | 56 bimets-2.0.1/bimets/man/is.bimets.Rd | 58 bimets-2.0.1/bimets/man/summary.BIMETS_MODEL.Rd | 18 bimets-2.0.1/bimets/vignettes/KleinGNP.png |binary bimets-2.0.1/bimets/vignettes/OptKlein.png |only bimets-2.0.1/bimets/vignettes/StochKleinGNP.png |only bimets-2.0.1/bimets/vignettes/bimets.Rnw | 640 ++- 102 files changed, 4852 insertions(+), 2108 deletions(-)
Title: Spatially Explicit Capture-Recapture
Description: Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.
Author: Murray Efford [aut, cre] (<https://orcid.org/0000-0001-5231-5184>)
Maintainer: Murray Efford <murray.efford@otago.ac.nz>
Diff between secr versions 4.4.8 dated 2021-11-09 and 4.5.0 dated 2022-01-06
secr-4.4.8/secr/man/model.average.Rd |only secr-4.5.0/secr/DESCRIPTION | 10 secr-4.5.0/secr/MD5 | 150 ++-- secr-4.5.0/secr/NAMESPACE | 4 secr-4.5.0/secr/NEWS | 32 + secr-4.5.0/secr/R/Dsurface.R | 55 + secr-4.5.0/secr/R/Fewstervarn.R | 2 secr-4.5.0/secr/R/addCovariates.R | 22 secr-4.5.0/secr/R/confint.secr.R | 8 secr-4.5.0/secr/R/discretize.R | 4 secr-4.5.0/secr/R/fastsecrloglik.R | 24 secr-4.5.0/secr/R/generalsecrloglik.R | 23 secr-4.5.0/secr/R/loglikhelperfn.R | 20 secr-4.5.0/secr/R/make.capthist.R | 54 + secr-4.5.0/secr/R/methods.R | 103 ++- secr-4.5.0/secr/R/model.average.R | 41 - secr-4.5.0/secr/R/modelAverage.R | 323 +++++++++- secr-4.5.0/secr/R/plot.secr.R | 8 secr-4.5.0/secr/R/predict.secr.R | 27 secr-4.5.0/secr/R/preparedata.R | 15 secr-4.5.0/secr/R/rbind.capthist.R | 4 secr-4.5.0/secr/R/read.traps.R | 2 secr-4.5.0/secr/R/reduce.R | 82 +- secr-4.5.0/secr/R/regionN.R | 5 secr-4.5.0/secr/R/secr.design.MS.R | 3 secr-4.5.0/secr/R/secr.fit.R | 53 + secr-4.5.0/secr/R/sim.capthist.R | 4 secr-4.5.0/secr/R/sim.popn.R | 24 secr-4.5.0/secr/R/snip.R | 35 - secr-4.5.0/secr/R/utility.R | 488 ++++++++-------- secr-4.5.0/secr/R/verify.R | 7 secr-4.5.0/secr/data/ovenbird.RData |binary secr-4.5.0/secr/data/ovensong.RData |binary secr-4.5.0/secr/data/possum.RData |binary secr-4.5.0/secr/data/secrdemo.RData |binary secr-4.5.0/secr/data/stoatDNA.RData |binary secr-4.5.0/secr/inst/doc/secr-datainput.pdf |binary secr-4.5.0/secr/inst/doc/secr-overview.Rmd | 22 secr-4.5.0/secr/inst/doc/secr-overview.pdf |binary secr-4.5.0/secr/man/AIC.secr.Rd | 4 secr-4.5.0/secr/man/AICcompatible.Rd | 2 secr-4.5.0/secr/man/coulombe.Rd | 14 secr-4.5.0/secr/man/ip.secr.Rd | 2 secr-4.5.0/secr/man/make.capthist.Rd | 2 secr-4.5.0/secr/man/modelAverage.Rd |only secr-4.5.0/secr/man/ovenbird.Rd | 2 secr-4.5.0/secr/man/possum.Rd | 2 secr-4.5.0/secr/man/secr-deprecated.Rd | 30 secr-4.5.0/secr/man/secr-package.Rd | 4 secr-4.5.0/secr/man/skink.Rd | 8 secr-4.5.0/secr/man/snip.Rd | 3 secr-4.5.0/secr/man/speed.Rd | 8 secr-4.5.0/secr/man/stoatDNA.Rd | 4 secr-4.5.0/secr/man/timevaryingcov.Rd | 4 secr-4.5.0/secr/man/trap.builder.Rd | 34 - secr-4.5.0/secr/src/RcppExports.cpp | 5 secr-4.5.0/secr/src/autils.cpp | 50 - secr-4.5.0/secr/src/detectfn.cpp | 2 secr-4.5.0/secr/src/getdenom.cpp | 14 secr-4.5.0/secr/src/geth.cpp | 4 secr-4.5.0/secr/src/makegk.cpp | 24 secr-4.5.0/secr/src/makegkpoly.cpp | 65 +- secr-4.5.0/secr/src/makelookup.cpp | 2 secr-4.5.0/secr/src/poly.h | 1 secr-4.5.0/secr/src/polygonN.cpp | 211 +++--- secr-4.5.0/secr/src/prwipolygon.cpp | 76 -- secr-4.5.0/secr/src/prwisignal.cpp | 4 secr-4.5.0/secr/src/prwisimple.cpp | 4 secr-4.5.0/secr/src/secr.h | 6 secr-4.5.0/secr/src/sighting.cpp | 2 secr-4.5.0/secr/src/simsecr.cpp | 4 secr-4.5.0/secr/src/trapping.cpp | 4 secr-4.5.0/secr/tests/testthat.R | 3 secr-4.5.0/secr/tests/testthat/test-countdetectors.R |only secr-4.5.0/secr/tests/testthat/test-datamanipulation.R |only secr-4.5.0/secr/tests/testthat/test-initial.R | 37 - secr-4.5.0/secr/tests/testthat/test-signaldetector.R |only secr-4.5.0/secr/tests/testthat/test-transectdetectors.R |only secr-4.5.0/secr/vignettes/secr-overview.Rmd | 22 79 files changed, 1384 insertions(+), 933 deletions(-)
Title: Visualization and Analysis Tools for Neural Networks
Description: Visualization and analysis tools to aid in the interpretation of
neural network models. Functions are available for plotting,
quantifying variable importance, conducting a sensitivity analysis, and
obtaining a simple list of model weights.
Author: Marcus W. Beck [aut, cre]
Maintainer: Marcus W. Beck <mbafs2012@gmail.com>
Diff between NeuralNetTools versions 1.5.2 dated 2018-07-26 and 1.5.3 dated 2022-01-06
DESCRIPTION | 17 ++++++------- MD5 | 27 ++++++++++++-------- R/NeuralNetTools_plot.R | 4 +-- build |only inst/doc |only man/bias_lines.Rd | 19 +++++++++++++- man/bias_points.Rd | 14 +++++++++- man/garson.Rd | 11 ++++++-- man/layer_lines.Rd | 25 +++++++++++++++++-- man/layer_points.Rd | 18 ++++++++++++- man/lekprofile.Rd | 19 ++++++++++---- man/neuraldat.Rd | 6 +++- man/olden.Rd | 13 ++++++++-- man/plotnet.Rd | 62 ++++++++++++++++++++++++++++++++++-------------- vignettes |only 15 files changed, 176 insertions(+), 59 deletions(-)
More information about NeuralNetTools at CRAN
Permanent link
Title: A Framework for Clustering Longitudinal Data
Description: A framework for clustering longitudinal datasets in a standardized way. Provides an interface to existing R packages for clustering longitudinal univariate trajectories, facilitating reproducible and transparent analyses. Additionally, standard tools are provided to support cluster analyses, including repeated estimation, model validation, and model assessment. The interface enables users to compare results between methods, and to implement and evaluate new methods with ease.
Author: Niek Den Teuling [aut, cre] (<https://orcid.org/0000-0003-1026-5080>),
Steffen Pauws [ctb],
Edwin van den Heuvel [ctb],
Copyright © 2021 Koninklijke Philips N.V. [cph]
Maintainer: Niek Den Teuling <niek.den.teuling@philips.com>
Diff between latrend versions 1.1.2 dated 2021-04-14 and 1.2.1 dated 2022-01-06
latrend-1.1.2/latrend/R/metrics.R |only latrend-1.1.2/latrend/R/plot.R |only latrend-1.1.2/latrend/inst/doc/custom.R |only latrend-1.1.2/latrend/inst/doc/custom.Rmd |only latrend-1.1.2/latrend/inst/doc/custom.html |only latrend-1.1.2/latrend/inst/make_latrendData.R |only latrend-1.1.2/latrend/man/cash.Rd |only latrend-1.1.2/latrend/man/lcMethod.Rd |only latrend-1.1.2/latrend/man/lcMethod.call.Rd |only latrend-1.1.2/latrend/man/plot-lcModel-ANY-method.Rd |only latrend-1.1.2/latrend/man/transformLatrendData.Rd |only latrend-1.1.2/latrend/tests/testthat/testthat-problems.rds |only latrend-1.1.2/latrend/vignettes/custom.Rmd |only latrend-1.2.1/latrend/DESCRIPTION | 41 latrend-1.2.1/latrend/MD5 | 471 - latrend-1.2.1/latrend/NAMESPACE | 29 latrend-1.2.1/latrend/NEWS.md |only latrend-1.2.1/latrend/R/assert.R | 129 latrend-1.2.1/latrend/R/data.R | 97 latrend-1.2.1/latrend/R/formula.R | 463 - latrend-1.2.1/latrend/R/generics.R | 470 + latrend-1.2.1/latrend/R/latrend.R | 1588 ++--- latrend-1.2.1/latrend/R/make.R | 33 latrend-1.2.1/latrend/R/matrix.R | 30 latrend-1.2.1/latrend/R/method.R | 2174 ++++--- latrend-1.2.1/latrend/R/methodAKMedoids.R | 49 latrend-1.2.1/latrend/R/methodCrimCV.R | 43 latrend-1.2.1/latrend/R/methodCustom.R | 28 latrend-1.2.1/latrend/R/methodDtwclust.R | 39 latrend-1.2.1/latrend/R/methodFeature.R | 107 latrend-1.2.1/latrend/R/methodFlexmix.R | 40 latrend-1.2.1/latrend/R/methodFlexmixGBTM.R | 42 latrend-1.2.1/latrend/R/methodFunFEM.R | 47 latrend-1.2.1/latrend/R/methodGCKM.R | 116 latrend-1.2.1/latrend/R/methodKML.R | 248 latrend-1.2.1/latrend/R/methodLMKM.R | 68 latrend-1.2.1/latrend/R/methodLcmmGBTM.R | 50 latrend-1.2.1/latrend/R/methodLcmmGMM.R | 164 latrend-1.2.1/latrend/R/methodLongclust.R | 44 latrend-1.2.1/latrend/R/methodMatrix.R | 2 latrend-1.2.1/latrend/R/methodMclustLLPA.R | 37 latrend-1.2.1/latrend/R/methodMixAK_GLMM.R | 46 latrend-1.2.1/latrend/R/methodMixTVEM.R | 46 latrend-1.2.1/latrend/R/methodMixtoolsGMM.R | 44 latrend-1.2.1/latrend/R/methodMixtoolsNPRM.R | 49 latrend-1.2.1/latrend/R/methodRandom.R | 30 latrend-1.2.1/latrend/R/methodStratify.R | 137 latrend-1.2.1/latrend/R/methods.R | 38 latrend-1.2.1/latrend/R/metricsExternal.R |only latrend-1.2.1/latrend/R/metricsInternal.R |only latrend-1.2.1/latrend/R/model-evaluation.R |only latrend-1.2.1/latrend/R/model-summary.R | 41 latrend-1.2.1/latrend/R/model-transform.R | 385 + latrend-1.2.1/latrend/R/model.R | 2885 +++++----- latrend-1.2.1/latrend/R/modelApprox.R | 32 latrend-1.2.1/latrend/R/modelCustom.R | 17 latrend-1.2.1/latrend/R/modelFlexmix.R | 10 latrend-1.2.1/latrend/R/modelKML.R | 2 latrend-1.2.1/latrend/R/modelLMKM.R | 78 latrend-1.2.1/latrend/R/modelLcmmGMM.R | 13 latrend-1.2.1/latrend/R/modelLongclust.R | 2 latrend-1.2.1/latrend/R/modelMclustLLPA.R | 2 latrend-1.2.1/latrend/R/modelMixAK_GLMM.R | 8 latrend-1.2.1/latrend/R/modelMixTVEM.R | 12 latrend-1.2.1/latrend/R/modelMixtoolsGMM.R | 203 latrend-1.2.1/latrend/R/modelMixtoolsRM.R | 183 latrend-1.2.1/latrend/R/modelPartition.R | 284 latrend-1.2.1/latrend/R/modelStratify.R | 45 latrend-1.2.1/latrend/R/modelWeightedPartition.R | 157 latrend-1.2.1/latrend/R/models.R | 952 +-- latrend-1.2.1/latrend/R/random.R | 2 latrend-1.2.1/latrend/R/timing.R |only latrend-1.2.1/latrend/R/trajectories.R |only latrend-1.2.1/latrend/R/verbose.R | 26 latrend-1.2.1/latrend/R/zzz.R | 268 latrend-1.2.1/latrend/build/partial.rdb |binary latrend-1.2.1/latrend/build/vignette.rds |binary latrend-1.2.1/latrend/data/OSA.adherence.rda |only latrend-1.2.1/latrend/inst/REFERENCES.bib | 402 - latrend-1.2.1/latrend/inst/doc/demo.Rmd | 2 latrend-1.2.1/latrend/inst/doc/demo.html | 546 + latrend-1.2.1/latrend/inst/doc/implement.R |only latrend-1.2.1/latrend/inst/doc/implement.Rmd |only latrend-1.2.1/latrend/inst/doc/implement.html |only latrend-1.2.1/latrend/inst/doc/simulation.R |only latrend-1.2.1/latrend/inst/doc/simulation.Rmd |only latrend-1.2.1/latrend/inst/doc/simulation.html |only latrend-1.2.1/latrend/inst/doc/validation.Rmd | 2 latrend-1.2.1/latrend/inst/doc/validation.html | 491 + latrend-1.2.1/latrend/man/APPA.Rd |only latrend-1.2.1/latrend/man/OCC.Rd |only latrend-1.2.1/latrend/man/OSA.adherence.Rd |only latrend-1.2.1/latrend/man/as.data.frame.lcMethod.Rd | 3 latrend-1.2.1/latrend/man/as.data.frame.lcMethods.Rd | 3 latrend-1.2.1/latrend/man/as.lcMethods.Rd | 1 latrend-1.2.1/latrend/man/as.lcModels.Rd | 4 latrend-1.2.1/latrend/man/as.list.lcMethod.Rd | 2 latrend-1.2.1/latrend/man/assert.Rd | 6 latrend-1.2.1/latrend/man/clusterProportions.Rd | 25 latrend-1.2.1/latrend/man/clusterSizes.Rd | 22 latrend-1.2.1/latrend/man/clusterTrajectories.Rd | 9 latrend-1.2.1/latrend/man/coef.lcModel.Rd | 29 latrend-1.2.1/latrend/man/compose.Rd |only latrend-1.2.1/latrend/man/confusionMatrix.Rd | 28 latrend-1.2.1/latrend/man/converged.Rd | 24 latrend-1.2.1/latrend/man/defineExternalMetric.Rd | 10 latrend-1.2.1/latrend/man/defineInternalMetric.Rd | 18 latrend-1.2.1/latrend/man/deviance.lcModel.Rd | 14 latrend-1.2.1/latrend/man/df.residual.lcModel.Rd | 9 latrend-1.2.1/latrend/man/dot-defineInternalDistanceMetrics.Rd |only latrend-1.2.1/latrend/man/estimationTime.Rd | 30 latrend-1.2.1/latrend/man/evaluate.lcMethod.Rd | 3 latrend-1.2.1/latrend/man/externalMetric.Rd | 87 latrend-1.2.1/latrend/man/fit.Rd |only latrend-1.2.1/latrend/man/fitted.lcModel.Rd | 27 latrend-1.2.1/latrend/man/fittedTrajectories.Rd |only latrend-1.2.1/latrend/man/formula.lcMethod.Rd | 1 latrend-1.2.1/latrend/man/formula.lcModel.Rd | 19 latrend-1.2.1/latrend/man/generateLongData.Rd | 5 latrend-1.2.1/latrend/man/getArgumentDefaults.Rd |only latrend-1.2.1/latrend/man/getArgumentExclusions.Rd |only latrend-1.2.1/latrend/man/getCall.lcModel.Rd | 13 latrend-1.2.1/latrend/man/getExternalMetricDefinition.Rd | 2 latrend-1.2.1/latrend/man/getExternalMetricNames.Rd | 2 latrend-1.2.1/latrend/man/getInternalMetricDefinition.Rd | 2 latrend-1.2.1/latrend/man/getInternalMetricNames.Rd | 2 latrend-1.2.1/latrend/man/getLabel.Rd |only latrend-1.2.1/latrend/man/getLcMethod.Rd | 8 latrend-1.2.1/latrend/man/getName.Rd |only latrend-1.2.1/latrend/man/ids.Rd | 12 latrend-1.2.1/latrend/man/indexy.Rd | 8 latrend-1.2.1/latrend/man/initialize-lcMethod-method.Rd |only latrend-1.2.1/latrend/man/interface-akmedoids.Rd | 16 latrend-1.2.1/latrend/man/interface-crimCV.Rd | 14 latrend-1.2.1/latrend/man/interface-custom.Rd | 61 latrend-1.2.1/latrend/man/interface-dtwclust.Rd | 14 latrend-1.2.1/latrend/man/interface-featureBased.Rd | 81 latrend-1.2.1/latrend/man/interface-flexmix.Rd | 20 latrend-1.2.1/latrend/man/interface-funFEM.Rd | 14 latrend-1.2.1/latrend/man/interface-kml.Rd | 17 latrend-1.2.1/latrend/man/interface-lcmm.Rd | 29 latrend-1.2.1/latrend/man/interface-longclust.Rd | 17 latrend-1.2.1/latrend/man/interface-mclust.Rd | 17 latrend-1.2.1/latrend/man/interface-mixAK.Rd | 14 latrend-1.2.1/latrend/man/interface-mixtools.Rd | 23 latrend-1.2.1/latrend/man/interface-mixtvem.Rd | 14 latrend-1.2.1/latrend/man/isArgDefined.Rd | 2 latrend-1.2.1/latrend/man/latrend-generics.Rd | 53 latrend-1.2.1/latrend/man/latrend-package.Rd | 78 latrend-1.2.1/latrend/man/latrend-parallel.Rd | 22 latrend-1.2.1/latrend/man/latrend.Rd | 12 latrend-1.2.1/latrend/man/latrendBatch.Rd | 31 latrend-1.2.1/latrend/man/latrendBoot.Rd | 8 latrend-1.2.1/latrend/man/latrendCV.Rd | 8 latrend-1.2.1/latrend/man/latrendData.Rd | 24 latrend-1.2.1/latrend/man/latrendRep.Rd | 8 latrend-1.2.1/latrend/man/lcMatrixMethod-class.Rd | 6 latrend-1.2.1/latrend/man/lcMethod-class.Rd | 156 latrend-1.2.1/latrend/man/lcMethodAkmedoids.Rd | 2 latrend-1.2.1/latrend/man/lcMethodCrimCV.Rd | 2 latrend-1.2.1/latrend/man/lcMethodCustom.Rd | 2 latrend-1.2.1/latrend/man/lcMethodDtwclust.Rd | 2 latrend-1.2.1/latrend/man/lcMethodFeature.Rd | 58 latrend-1.2.1/latrend/man/lcMethodFunFEM.Rd | 2 latrend-1.2.1/latrend/man/lcMethodGCKM.Rd | 12 latrend-1.2.1/latrend/man/lcMethodKML.Rd | 3 latrend-1.2.1/latrend/man/lcMethodLMKM.Rd | 6 latrend-1.2.1/latrend/man/lcMethodLcmmGBTM.Rd | 11 latrend-1.2.1/latrend/man/lcMethodLcmmGMM.Rd | 11 latrend-1.2.1/latrend/man/lcMethodLongclust.Rd | 2 latrend-1.2.1/latrend/man/lcMethodMclustLLPA.Rd | 2 latrend-1.2.1/latrend/man/lcMethodMixAK_GLMM.Rd | 2 latrend-1.2.1/latrend/man/lcMethodMixtoolsGMM.Rd | 2 latrend-1.2.1/latrend/man/lcMethodMixtoolsNPRM.Rd | 2 latrend-1.2.1/latrend/man/lcMethodRandom.Rd | 7 latrend-1.2.1/latrend/man/lcMethodStratify.Rd | 2 latrend-1.2.1/latrend/man/lcModel-class.Rd | 21 latrend-1.2.1/latrend/man/lcModel-data-filters.Rd | 5 latrend-1.2.1/latrend/man/lcModelPartition.Rd | 26 latrend-1.2.1/latrend/man/lcModelWeightedPartition.Rd | 3 latrend-1.2.1/latrend/man/lcModels.Rd | 6 latrend-1.2.1/latrend/man/logLik.lcModel.Rd | 21 latrend-1.2.1/latrend/man/match.call.all.Rd | 22 latrend-1.2.1/latrend/man/meanNA.Rd |only latrend-1.2.1/latrend/man/metric.Rd | 63 latrend-1.2.1/latrend/man/model.data.lcModel.Rd | 11 latrend-1.2.1/latrend/man/model.frame.lcModel.Rd | 17 latrend-1.2.1/latrend/man/nClusters.Rd | 14 latrend-1.2.1/latrend/man/nIds.Rd | 17 latrend-1.2.1/latrend/man/names-lcMethod-method.Rd |only latrend-1.2.1/latrend/man/nobs.lcModel.Rd | 12 latrend-1.2.1/latrend/man/plot-lcModel-method.Rd |only latrend-1.2.1/latrend/man/plot-lcModels-method.Rd |only latrend-1.2.1/latrend/man/plotClusterTrajectories.Rd | 51 latrend-1.2.1/latrend/man/plotFittedTrajectories.Rd |only latrend-1.2.1/latrend/man/plotMetric.Rd | 10 latrend-1.2.1/latrend/man/plotTrajectories.Rd | 46 latrend-1.2.1/latrend/man/postFit.Rd |only latrend-1.2.1/latrend/man/postprob.Rd | 26 latrend-1.2.1/latrend/man/preFit.Rd |only latrend-1.2.1/latrend/man/predict.lcModel.Rd | 31 latrend-1.2.1/latrend/man/predictAssignments.Rd | 18 latrend-1.2.1/latrend/man/predictForCluster.Rd | 36 latrend-1.2.1/latrend/man/predictPostprob.Rd | 21 latrend-1.2.1/latrend/man/prepareData.Rd |only latrend-1.2.1/latrend/man/qqPlot.Rd | 15 latrend-1.2.1/latrend/man/residuals.lcModel.Rd | 16 latrend-1.2.1/latrend/man/sigma.lcModel.Rd | 17 latrend-1.2.1/latrend/man/strip.Rd | 36 latrend-1.2.1/latrend/man/time.lcModel.Rd | 10 latrend-1.2.1/latrend/man/trajectories.Rd | 76 latrend-1.2.1/latrend/man/trajectoryAssignments.Rd | 31 latrend-1.2.1/latrend/man/transformFitted.Rd | 49 latrend-1.2.1/latrend/man/transformPredict.Rd | 50 latrend-1.2.1/latrend/man/update.lcMethod.Rd | 3 latrend-1.2.1/latrend/man/update.lcModel.Rd | 19 latrend-1.2.1/latrend/man/validate.Rd |only latrend-1.2.1/latrend/tests/testthat.R | 2 latrend-1.2.1/latrend/tests/testthat/setup-data.R | 38 latrend-1.2.1/latrend/tests/testthat/setup-init.R | 296 - latrend-1.2.1/latrend/tests/testthat/setup-method-functions.R |only latrend-1.2.1/latrend/tests/testthat/setup-methods.R | 104 latrend-1.2.1/latrend/tests/testthat/setup-models.R |only latrend-1.2.1/latrend/tests/testthat/test-assert.R |only latrend-1.2.1/latrend/tests/testthat/test-cluslong.R | 389 - latrend-1.2.1/latrend/tests/testthat/test-cluslongBatch.R | 225 latrend-1.2.1/latrend/tests/testthat/test-cluslongBoot.R | 28 latrend-1.2.1/latrend/tests/testthat/test-cluslongFold.R | 61 latrend-1.2.1/latrend/tests/testthat/test-cluslongRep.R | 85 latrend-1.2.1/latrend/tests/testthat/test-crimcv.R | 96 latrend-1.2.1/latrend/tests/testthat/test-data.R | 62 latrend-1.2.1/latrend/tests/testthat/test-flexmix.R | 77 latrend-1.2.1/latrend/tests/testthat/test-funfem.R | 60 latrend-1.2.1/latrend/tests/testthat/test-generateLongData.R |only latrend-1.2.1/latrend/tests/testthat/test-kml.R | 13 latrend-1.2.1/latrend/tests/testthat/test-lcmm.R | 86 latrend-1.2.1/latrend/tests/testthat/test-logging.R |only latrend-1.2.1/latrend/tests/testthat/test-longclust.R | 57 latrend-1.2.1/latrend/tests/testthat/test-match-call.R |only latrend-1.2.1/latrend/tests/testthat/test-matrix.R | 11 latrend-1.2.1/latrend/tests/testthat/test-mclust.R | 25 latrend-1.2.1/latrend/tests/testthat/test-method.R | 429 - latrend-1.2.1/latrend/tests/testthat/test-methods.R | 31 latrend-1.2.1/latrend/tests/testthat/test-metrics-external.R |only latrend-1.2.1/latrend/tests/testthat/test-metrics.R | 93 latrend-1.2.1/latrend/tests/testthat/test-mixak.R | 43 latrend-1.2.1/latrend/tests/testthat/test-mixtools.R | 63 latrend-1.2.1/latrend/tests/testthat/test-mixtvem.R | 30 latrend-1.2.1/latrend/tests/testthat/test-model-err.R |only latrend-1.2.1/latrend/tests/testthat/test-model-ext.R |only latrend-1.2.1/latrend/tests/testthat/test-model-nodata.R |only latrend-1.2.1/latrend/tests/testthat/test-model.R | 130 latrend-1.2.1/latrend/tests/testthat/test-models.R | 117 latrend-1.2.1/latrend/tests/testthat/test-parallel.R | 99 latrend-1.2.1/latrend/tests/testthat/test-partition.R | 125 latrend-1.2.1/latrend/tests/testthat/test-plot.R | 85 latrend-1.2.1/latrend/tests/testthat/test-quick.R |only latrend-1.2.1/latrend/tests/testthat/test-random.R | 14 latrend-1.2.1/latrend/tests/testthat/test-stratify.R | 58 latrend-1.2.1/latrend/tests/testthat/test-timing.R |only latrend-1.2.1/latrend/tests/testthat/test-transform-fitted.R |only latrend-1.2.1/latrend/tests/testthat/test-transform-predict.R |only latrend-1.2.1/latrend/tests/testthat/test-twostep.R | 60 latrend-1.2.1/latrend/tests/testthat/test-wpartition.R | 52 latrend-1.2.1/latrend/vignettes/demo.Rmd | 2 latrend-1.2.1/latrend/vignettes/implement.Rmd |only latrend-1.2.1/latrend/vignettes/simulation.Rmd |only latrend-1.2.1/latrend/vignettes/validation.Rmd | 2 268 files changed, 12103 insertions(+), 7250 deletions(-)
Title: Subdistribution Analysis of Competing Risks
Description: Estimation, testing and regression modeling of
subdistribution functions in competing risks, as described in Gray
(1988), A class of K-sample tests for comparing the cumulative
incidence of a competing risk, Ann. Stat. 16:1141-1154
<DOI:10.1214/aos/1176350951>, and Fine JP and
Gray RJ (1999), A proportional hazards model for the subdistribution
of a competing risk, JASA, 94:496-509, <DOI:10.1080/01621459.1999.10474144>.
Author: Bob Gray <gray@jimmy.harvard.edu>
Maintainer: Bob Gray <gray@jimmy.harvard.edu>
Diff between cmprsk versions 2.2-10 dated 2020-06-09 and 2.2-11 dated 2022-01-06
DESCRIPTION | 8 ++++---- MD5 | 4 ++-- src/crstm.f | 3 ++- 3 files changed, 8 insertions(+), 7 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-02-27 1.2.4
2018-05-09 1.2.3
2017-08-03 1.2.2
2017-07-31 1.2.1
2017-03-08 1.1.0
2017-01-12 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-12-17 0.1-1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-12-18 0.1.3
2021-12-16 0.1.2
2021-04-30 0.1.1
2021-03-28 0.1.0
2021-02-26 0.0.13
2021-01-27 0.0.12
2021-01-13 0.0.11
2020-11-22 0.0.10
2020-11-07 0.0.9
2020-10-21 0.0.8
2020-09-14 0.0.7
2020-09-05 0.0.6
2020-08-28 0.0.5
2020-08-01 0.0.4
2020-02-13 0.0.3
2019-09-11 0.0.2
2019-06-18 0.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-11-09 0.4.2
2021-04-13 0.3.9
2021-03-23 0.3.7
2020-05-08 0.3.5
2020-03-16 0.3.2
2019-09-12 0.2-7
2019-08-07 0.2-6
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-12-15 0.3.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-12-08 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-05-12 0.1.1
2019-08-23 0.0.5
2015-03-10 0.0.3
2014-12-16 0.0.2
2014-08-04 0.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-06-27 0.0.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-07-22 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-12-13 1.0.0
2021-10-14 0.6.3
2021-02-23 0.6.2
2020-03-08 0.4.8
2019-08-20 0.4.6
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-09-30 1.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-12-17 0.99.14
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-05-22 0.1.7
2020-05-20 0.1.6
2020-02-28 0.1.0
Title: Data Processing after Running 'GGIR' for Accelerometer Data
Description: Generate all necessary R/Rmd/shell files for data processing after running 'GGIR' (v2.4.0) for accelerometer data. In part 1, all csv files in the GGIR output directory were read, transformed and then merged. In part 2, the GGIR output files were checked and summarized in one excel sheet. In part 3, the merged data was cleaned according to the number of valid hours on each night and the number of valid days for each subject. In part 4, the cleaned activity data was imputed by the average Euclidean norm minus one (ENMO) over all the valid days for each subject. Finally, a comprehensive report of data processing was created using Rmarkdown, and the report includes few exploratory plots and multiple commonly used features extracted from minute level actigraphy data.
Author: Wei Guo [aut, cre],
Andrew Leroux [aut],
Vadim Zipunnikov [aut],
Kathleen Merikangas [aut]
Maintainer: Wei Guo <wei.guo3@nih.gov>
Diff between postGGIR versions 2.4.0.1 dated 2021-10-15 and 2.4.0.2 dated 2022-01-06
DESCRIPTION | 11 MD5 | 26 - R/part0_maincall.R | 26 + R/part2_summary.pipeline.R | 2 inst/doc/postGGIR.R | 23 + inst/doc/postGGIR.Rmd | 73 +++ inst/doc/postGGIR.html | 543 ++++++++++++++++++++++++++- inst/doc/quickguide.postGGIR.txt | 2 inst/extdata/example/filename2id.csv |only inst/template/STUDYNAME_part0.maincall.txt | 2 inst/template/part7b_JIVE_2_featureMerge.Rmd | 3 inst/template/part7c_JIVE_3_runJIVE.Rmd | 4 man/afterggir.Rd | 6 vignettes/figure1.workflow.pdf |only vignettes/postGGIR.Rmd | 73 +++ 15 files changed, 728 insertions(+), 66 deletions(-)
Title: Transform Files to 'microtable' Object with 'microeco' Package
Description: Transform output files of some tools to the 'microtable' object of 'microtable' class in 'microeco' package. The 'microtable' class is the basic class in 'microeco' package and is necessary for the downstream microbial community data analysis.
Author: Chi Liu [aut, cre]
Maintainer: Chi Liu <liuchi0426@126.com>
Diff between file2meco versions 0.2.0 dated 2021-11-16 and 0.2.1 dated 2022-01-06
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- R/qiime1meco.R | 14 +++++++++----- inst/extdata/otu_table_raw.txt | 1 + man/qiime1meco.Rd | 16 ++++------------ 5 files changed, 21 insertions(+), 24 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-05-14 1.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-07-14 2.2.0
2018-01-12 2.1.0
2016-05-04 2.0.0
2014-10-08 1.4
2013-08-08 1.3
2013-01-16 1.2
2012-06-23 1.1
2011-05-12 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-07-20 3.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-02-10 1.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-04-28 1.3.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-03-13 2.0.1
2020-01-23 2.0.0
2016-10-28 1.7.1
2013-07-23 1.5
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-04-01 1.1-2
2018-04-19 1.0-3
2016-07-07 1.0-2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-05-15 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-01-24 0.1.2
2018-03-09 0.1.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-02-24 0.8.4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-07-09 0.1.2
2021-07-08 0.1.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-03-01 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-12-16 2.0.0
2019-09-12 1.0.0
2019-02-11 0.0.1
Title: Technical Variation Elimination with Ensemble Learning
Architecture
Description: The R implementation of TIGER.
TIGER integrates random forest algorithm into an innovative ensemble learning architecture. Benefiting from this advanced architecture, TIGER is resilient to outliers, free from model tuning and less likely to be affected by specific hyperparameters.
TIGER supports targeted and untargeted metabolomics data and is competent to perform both intra- and inter-batch technical variation removal. TIGER can also be used for cross-kit adjustment to ensure data obtained from different analytical assays can be effectively combined and compared.
Reference: Han S. et al. (2022) <doi:10.1093/bib/bbab535>.
Author: Siyu Han [aut, cre], Jialing Huang [aut], Francesco Foppiano [aut], Cornelia Prehn [aut], Jerzy Adamski [aut], Karsten Suhre [aut], Ying Li [aut], Giuseppe Matullo [aut], Freimut Schliess [aut], Christian Gieger [aut], Annette Peters [aut], Rui Wang-Sattler [aut]
Maintainer: Siyu Han <siyu.han@helmholtz-muenchen.de>
Diff between TIGERr versions 0.1.0 dated 2021-09-02 and 1.0.0 dated 2022-01-06
DESCRIPTION | 14 - MD5 | 20 - NAMESPACE | 2 NEWS.md |only R/Internal.R | 643 +++++++++++++++++++++++++---------------------- R/data.R | 4 R/main.R | 25 + build |only inst/CITATION | 19 - man/FF4_qc.Rd | 4 man/compute_targetVal.Rd | 4 man/run_TIGER.Rd | 4 12 files changed, 397 insertions(+), 342 deletions(-)
Title: 'RStudio' Addins and 'Shiny' Modules for Medical Research
Description: 'RStudio' addins and 'Shiny' modules for descriptive statistics, regression and survival analysis.
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>),
Zarathu [cph, fnd],
Hyunki Lee [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>
Diff between jsmodule versions 1.2.0 dated 2021-10-11 and 1.3.0 dated 2022-01-06
DESCRIPTION | 16 +++--- MD5 | 19 ++++++-- NAMESPACE | 9 +++ NEWS.md | 7 +++ R/bar.R |only R/box.R |only R/jsBasicGadget.R | 113 ++++++++++++++++++++++++++++++++++++++++++++++--- R/line.R |only inst/doc/jsmodule.html | 4 - man/barServer.Rd |only man/barUI.Rd |only man/boxServer.Rd |only man/boxUI.Rd |only man/lineServer.Rd |only man/lineUI.Rd |only 15 files changed, 149 insertions(+), 19 deletions(-)
Title: The Full Bayesian Evidence Test, Full Bayesian Significance Test
and the e-Value
Description: Provides access to a range of functions for computing and visualizing the Full Bayesian Significance Test (FBST) and the e-value for testing a sharp hypothesis against its alternative, and the Full Bayesian Evidence Test (FBET) and the (generalized) Bayesian evidence value for testing a composite (or interval) hypothesis against its alternative. The methods are widely applicable as long as a posterior MCMC sample is available. For details on the computation and theory of the FBST see <arXiv:2005.13181>.
Author: Riko Kelter
Maintainer: Riko Kelter <riko.kelter@uni-siegen.de>
Diff between fbst versions 1.5 dated 2021-04-12 and 1.6 dated 2022-01-06
DESCRIPTION | 8 MD5 | 22 - build/partial.rdb |binary build/vignette.rds |binary inst/doc/fbet.R | 8 inst/doc/fbet.Rmd | 74 +++- inst/doc/fbet.html | 824 +++++++++++++++++++++++++++++------------------------ inst/doc/fbst.R | 3 inst/doc/fbst.Rmd | 39 +- inst/doc/fbst.html | 723 ++++++++++++++++++++++++++-------------------- vignettes/fbet.Rmd | 74 +++- vignettes/fbst.Rmd | 39 +- 12 files changed, 1040 insertions(+), 774 deletions(-)
Title: Non-Local Alternative Priors in Psychology
Description: Conducts Bayesian Hypothesis tests of a point null hypothesis against a two-sided alternative
using Non-local Alternative Prior (NAP) for one- and two-sample z- and t-tests
(Pramanik and Johnson, 2022). Under the alternative, the NAP is assumed on the standardized
effects size in one-sample tests and on their differences in two-sample tests. The package
considers two types of NAP densities: (1) the normal moment prior, and (2) the composite alternative.
In fixed design tests, the functions calculate the Bayes factors and the expected weight of evidence
for varied effect size and sample size. The package also provides a sequential testing framework using the
Sequential Bayes Factor (SBF) design. The functions calculate the operating characteristics (OC)
and the average sample number (ASN), and also conducts sequential tests for a sequentially observed data.
Author: Sandipan Pramanik [aut, cre],
Valen E. Johnson [aut]
Maintainer: Sandipan Pramanik <sandy@stat.tamu.edu>
Diff between NAP versions 1.0 dated 2021-11-04 and 1.1 dated 2022-01-06
DESCRIPTION | 23 ++++++++++----------- MD5 | 46 +++++++++++++++++++++---------------------- build/partial.rdb |binary man/NAP-package.Rd | 8 ++++--- man/NAPBF_onet.Rd | 15 +++----------- man/NAPBF_onez.Rd | 15 +++----------- man/NAPBF_twot.Rd | 15 +++----------- man/NAPBF_twoz.Rd | 15 +++----------- man/SBFNAP_onet.Rd | 15 +++----------- man/SBFNAP_onez.Rd | 15 +++----------- man/SBFNAP_twot.Rd | 15 +++----------- man/SBFNAP_twoz.Rd | 15 +++----------- man/fixedNAP.onet_es.Rd | 15 +++----------- man/fixedNAP.onet_n.Rd | 15 +++----------- man/fixedNAP.onez_es.Rd | 15 +++----------- man/fixedNAP.onez_n.Rd | 15 +++----------- man/fixedNAP.twot_es.Rd | 15 +++----------- man/fixedNAP.twot_n.Rd | 15 +++----------- man/fixedNAP.twoz_es.Rd | 15 +++----------- man/fixedNAP.twoz_n.Rd | 15 +++----------- man/implement.SBFNAP_onet.Rd | 15 +++----------- man/implement.SBFNAP_onez.Rd | 15 +++----------- man/implement.SBFNAP_twot.Rd | 15 +++----------- man/implement.SBFNAP_twoz.Rd | 15 +++----------- 24 files changed, 119 insertions(+), 258 deletions(-)
Title: Moder-Free Sure Independent Screening Procedures
Description: An implementation of popular screening methods that are commonly employed in ultra-high and high dimensional data. Through this publicly available package, we provide a unified framework to carry out model-free screening procedures including SIS (Fan and Lv (2008) <doi:10.1111/j.1467-9868.2008.00674.x>), SIRS(Zhu et al. (2011)<doi:10.1198/jasa.2011.tm10563>), DC-SIS (Li et al. (2012) <doi:10.1080/01621459.2012.695654>), MDC-SIS(Shao and Zhang (2014) <doi:10.1080/01621459.2014.887012>), Bcor-SIS (Pan et al. (2019) <doi:10.1080/01621459.2018.1462709>), PC-Screen (Liu et al. (2020) <doi:10.1080/01621459.2020.1783274>), WLS (Zhong et al.(2021) <doi:10.1080/01621459.2021.1918554>), Kfilter (Mai and Zou (2015) <doi:10.1214/14-AOS1303>), MVSIS (Cui et al. (2015) <doi:10.1080/01621459.2014.920256>) and CSIS.
Author: Xuewei Cheng [aut, cre],
Hong Wang [aut],
Liping Zhu [aut],
Wei Zhong [aut],
Hanpu Zhou [aut]
Maintainer: Xuewei Cheng <xwcheng@csu.edu.cn>
Diff between MFSIS versions 0.1.1 dated 2021-12-15 and 0.1.2 dated 2022-01-06
DESCRIPTION | 13 ++--- MD5 | 95 ++++++++++++++++++++++++------------------- NAMESPACE | 12 ++++- NEWS.md | 3 + R/BcorSIS.R | 8 +-- R/CSIS.R | 29 ++++++++++--- R/DCSIS.R | 4 - R/GendataAFT.R | 35 ++++++++++----- R/GendataCox.R |only R/GendataGP.R | 35 +++++++++++---- R/GendataIM.R | 18 ++++---- R/GendataLDA.R | 38 +++++++++++------ R/GendataLGM.R | 4 - R/GendataLM.R | 20 +++++++-- R/GendataMRM.R |only R/GendataPM.R | 4 - R/GendataTM.R | 20 +++++++-- R/Kfilter.R | 40 ++++++------------ R/MDCSIS.R | 4 - R/MFSIS.R |only R/MVSIS.R | 4 - R/PCSIS.R | 108 ++++++++++++++++++++++++++++++++++++++++++------- R/SIRS.R | 6 +- R/SIS.R | 4 - R/Simdata.R |only R/WLS.R | 9 +++- R/req_py.R | 1 man/BcorSIS.Rd | 8 +-- man/CSIS.Rd | 8 +-- man/Cor.Rd |only man/DCSIS.Rd | 4 - man/GendataAFT.Rd | 27 +++++++++--- man/GendataCox.Rd |only man/GendataGP.Rd | 12 ++++- man/GendataIM.Rd | 4 - man/GendataLDA.Rd | 16 +++++-- man/GendataLGM.Rd | 4 - man/GendataLM.Rd | 14 ++++-- man/GendataMRM.Rd |only man/GendataPM.Rd | 4 - man/GendataTM.Rd | 14 ++++-- man/Kfilter.Rd | 16 +------ man/Kfilter_fused.Rd | 8 +-- man/Kfilter_single.Rd | 6 +- man/MDCSIS.Rd | 4 - man/MFSIS.Rd |only man/MVSIS.Rd | 4 - man/PCSIS.Rd | 8 +-- man/SIRS.Rd | 4 - man/SIS.Rd | 4 - man/Simdata.Rd |only man/WLS.Rd | 4 - man/get_arccos.Rd |only man/projection_corr.Rd |only 54 files changed, 450 insertions(+), 237 deletions(-)
Title: Bayesian Model for CACE Analysis
Description: Performs CACE (Complier Average Causal Effect analysis) on either a single study or meta-analysis of datasets with binary outcomes, using either complete or incomplete noncompliance information. Our package implements the Bayesian methods proposed in Zhou et al. (2019) <doi:10.1111/biom.13028>, which introduces a Bayesian hierarchical model for estimating CACE in meta-analysis of clinical trials with noncompliance, and Zhou et al. (2021) <doi:10.1080/01621459.2021.1900859>, with an application example on Epidural Analgesia.
Author: Jinhui Yang [aut, cre] (<https://orcid.org/0000-0001-8322-1121>),
Jincheng Zhou [aut] (<https://orcid.org/0000-0003-2641-2495>),
James Hodges [ctb],
Haitao Chu [ctb] (<https://orcid.org/0000-0003-0932-598X>)
Maintainer: Jinhui Yang <james.yangjinhui@gmail.com>
Diff between BayesCACE versions 1.1 dated 2022-01-05 and 1.2 dated 2022-01-06
DESCRIPTION | 6 +++--- MD5 | 12 ++++++------ R/cace.meta.c.R | 4 ++-- R/cace.meta.ic.R | 2 +- R/prior.meta.R | 2 +- build/partial.rdb |binary man/cace.meta.c.Rd | 2 +- 7 files changed, 14 insertions(+), 14 deletions(-)
Title: Sensitivity Analysis of Neural Networks
Description: Analysis functions to quantify inputs importance in neural network models.
Functions are available for calculating and plotting the inputs importance and obtaining
the activation function of each neuron layer and its derivatives. The importance of a given
input is defined as the distribution of the derivatives of the output with respect to that
input in each training data point.
Author: José Portela González [aut],
Antonio Muñoz San Roque [aut],
Jaime Pizarroso Gonzalo [aut, ctb, cre]
Maintainer: Jaime Pizarroso Gonzalo <jpizarroso@comillas.edu>
Diff between NeuralSens versions 0.2.2 dated 2020-11-16 and 0.2.3 dated 2022-01-06
DESCRIPTION | 15 MD5 | 40 + NAMESPACE | 6 R/ActFunc.R | 983 +++++++++++++++++++++++++++---------------- R/ComputeHessMeasures.R | 2 R/ComputeSensMeasures.R | 2 R/HessDotPlot.R |only R/HessFeaturePlot.R |only R/HessMLP.R | 659 +++++++++++++++------------- R/HessianMLP.R | 82 ++- R/SensAnalysisMLP.R | 67 +- R/SensDotPlot.R |only R/SensMLP.R | 596 +++++++++++++------------- R/SensitivityPlots.R | 29 - man/Der2ActFunc.Rd | 2 man/DerLossFunc.Rd |only man/HessDotPlot.Rd |only man/HessFeaturePlot.Rd |only man/LossFunc.Rd |only man/SensDotPlot.Rd |only man/plot.HessMLP.Rd | 12 man/print.HessMLP.Rd | 4 man/print.SensMLP.Rd | 4 man/print.summary.HessMLP.Rd | 4 man/print.summary.SensMLP.Rd | 4 25 files changed, 1465 insertions(+), 1046 deletions(-)
Title: Confirmatory Adaptive Clinical Trial Design and Analysis
Description: Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2016) <doi:10.1007/978-3-319-32562-0>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.
Author: Gernot Wassmer [aut],
Friedrich Pahlke [aut, cre]
Maintainer: Friedrich Pahlke <friedrich.pahlke@rpact.com>
Diff between rpact versions 3.2.0 dated 2021-12-16 and 3.2.1 dated 2022-01-06
DESCRIPTION | 8 MD5 | 38 NEWS.md | 7 R/class_analysis_dataset.R | 22 R/class_summary.R | 6076 ++++++++++---------- R/f_analysis_base.R | 28 R/f_analysis_base_rates.R | 64 R/f_analysis_base_survival.R | 11 R/f_analysis_enrichment_means.R | 26 R/f_analysis_enrichment_rates.R | 12 R/f_analysis_enrichment_survival.R | 34 R/f_analysis_multiarm_means.R | 15 R/f_analysis_multiarm_rates.R | 53 R/f_analysis_multiarm_survival.R | 20 R/f_design_fisher_combination_test.R | 202 README.md | 4 build/partial.rdb |binary inst/doc/rpact_getting_started.html | 4 src/f_utilities.cpp | 26 tests/testthat/test-f_simulation_enrichment_rates.R | 7 20 files changed, 3513 insertions(+), 3144 deletions(-)
Title: Dose Response for Omics
Description: Several functions are provided for dose-response (or concentration-response) characterization from omics data. 'DRomics' is especially dedicated to omics data obtained using a typical dose-response design, favoring a great number of tested doses (or concentrations) rather than a great number of replicates (no need of replicates). 'DRomics' provides functions 1) to check, normalize and or transform data, 2) to select monotonic or biphasic significantly responding items (e.g. probes, metabolites), 3) to choose the best-fit model among a predefined family of monotonic and biphasic models to describe each selected item, 4) to derive a benchmark dose or concentration and a typology of response from each fitted curve. In the available version data are supposed to be single-channel microarray data in log2, RNAseq data in raw counts, or already pretreated continuous omics data (such as metabolomic data) in log scale. In order to link responses across biological levels based on a common method, 'DRomics' also handles apical data as long as they are continuous and follow a normal distribution for each dose or concentration, with a common standard error. For further details see Larras et al (2018) <DOI:10.1021/acs.est.8b04752> at <https://hal.archives-ouvertes.fr/hal-02309919>.
Author: Marie-Laure Delignette-Muller [aut],
Elise Billoir [aut],
Floriane Larras [ctb],
Aurelie Siberchicot [aut, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>
Diff between DRomics versions 2.3-0 dated 2021-10-04 and 2.4-0 dated 2022-01-06
DESCRIPTION | 6 MD5 | 91 +- R/RNAseqdata.R | 15 R/bmdboot.R | 165 +-- R/bmdcalc.R | 14 R/bmdplotwithgradient.R | 2 R/continuousanchoringdata.R | 13 R/curvesplot.R | 2 R/drcfit.R | 538 ++++++++---- R/itemselect.R | 9 R/metabolomicdata.R | 17 R/microarraydata.R | 13 R/omicdata.R | 4 R/targetplot.R | 2 R/util-basicandfitfunc.R | 180 ++-- R/util-plotfunc.R | 4 build/partial.rdb |binary build/vignette.rds |binary inst/DRomics-shiny/global.R | 4 inst/DRomics-shiny/server.R | 112 +- inst/DRomics-shiny/ui.R | 424 +++++---- inst/DRomics-shiny/www/informations_bmdcalc_results.txt | 2 inst/DRomics-shiny/www/informations_modelling_procedure.txt | 27 inst/NEWS | 32 inst/doc/DRomics_vignette.R | 11 inst/doc/DRomics_vignette.Rmd | 39 inst/doc/DRomics_vignette.html | 328 +++---- inst/extdata/insitu_RNAseq_sample.txt |only man/RNAseqdata.Rd | 5 man/Scenedesmus.Rd | 4 man/bmdboot.Rd | 23 man/bmdcalc.Rd | 14 man/continuousanchoringdata.Rd | 11 man/drcfit.Rd | 89 + man/itemselect.Rd | 7 man/metabolomicdata.Rd | 8 man/microarraydata.Rd | 8 man/sensitivityplot.Rd | 6 tests/examplewithNAvalues.R | 4 tests/examplewithRNAseq.R | 36 tests/examplewithanchoringdata.R | 11 tests/examplewithinsitudata.R |only tests/examplewithmetabolomic.R | 40 tests/examplewithmicroarray.R | 31 tests/examplewithnoreplicate.R | 16 tests/testAIC.R | 57 + tests/testplotfit.R |only vignettes/DRomics_vignette.Rmd | 39 48 files changed, 1662 insertions(+), 801 deletions(-)
More information about spatstat.random at CRAN
Permanent link
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-02-17 1.0-9
2014-04-28 1.0-8
2013-12-29 1.0-7
2013-06-22 1.0-6
2013-05-01 1.0-5
2013-04-03 1.0-4
2012-07-23 1.0-3
2012-05-03 1.0-2
2012-04-11 1.0-1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-12-20 0.1.2
2017-07-24 0.1.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-12-20 0.2.0
2021-09-16 0.1.0
Title: Udunits-2 Bindings for R
Description: Provides simple bindings to Unidata's udunits library.
Author: James Hiebert <hiebert@uvic.ca>
Maintainer: ORPHANED
Diff between udunits2 versions 0.13.1 dated 2021-11-05 and 0.13.2 dated 2022-01-06
CHANGELOG | 5 +++++ DESCRIPTION | 10 ++++++---- MD5 | 21 +++++++++++---------- configure | 45 +++++++++++++++++++++------------------------ configure.ac | 34 ++++++++++++++++++---------------- man/ud.are.convertible.Rd | 4 ++-- man/ud.convert.Rd | 4 ++-- man/ud.get.name.Rd | 8 ++++---- man/ud.is.parseable.Rd | 4 ++-- man/ud.set.encoding.Rd | 2 +- man/udunits2-package.Rd | 2 +- src/init.c |only 12 files changed, 73 insertions(+), 66 deletions(-)
Title: SPArse Matrix
Description: Set of functions for sparse matrix algebra.
Differences with other sparse matrix packages are:
(1) we only support (essentially) one sparse matrix format,
(2) based on transparent and simple structure(s),
(3) tailored for MCMC calculations within G(M)RF.
(4) and it is fast and scalable (with the extension package spam64).
Documentation about 'spam' is provided by vignettes included in this package, see also Furrer and Sain (2010) <doi:10.18637/jss.v036.i10>; see 'citation("spam")' for details.
Author: Reinhard Furrer [aut, cre] (<https://orcid.org/0000-0002-6319-2332>),
Florian Gerber [aut] (<https://orcid.org/0000-0001-8545-5263>),
Roman Flury [aut] (<https://orcid.org/0000-0002-0349-8698>),
Daniel Gerber [ctb],
Kaspar Moesinger [ctb],
Youcef Saad [ctb] (SPARSEKIT
http://www-users.cs.umn.edu/~saad/software/SPARSKIT/),
Esmond G. Ng [ctb] (Fortran Cholesky routines),
Barry W. Peyton [ctb] (Fortran Cholesky routines),
Joseph W.H. Liu [ctb] (Fortran Cholesky routines),
Alan D. George [ctb] (Fortran Cholesky routines),
Lehoucq B. Rich [ctb] (ARPACK),
Maschhoff Kristi [ctb] (ARPACK),
Sorensen C. Danny [ctb] (ARPACK),
Yang Chao [ctb] (ARPACK)
Maintainer: Reinhard Furrer <reinhard.furrer@math.uzh.ch>
Diff between spam versions 2.7-0 dated 2021-06-25 and 2.8-0 dated 2022-01-06
spam-2.7-0/spam/demo/article-jss-example1.R |only spam-2.7-0/spam/demo/article-jss-example2.R |only spam-2.7-0/spam/demo/article-jss.R |only spam-2.7-0/spam/demo/jss10-example2.R |only spam-2.7-0/spam/tests/demo_article-jss-example1.R |only spam-2.7-0/spam/tests/demo_article-jss-example1.Rout.save |only spam-2.7-0/spam/tests/demo_article-jss-example2.R |only spam-2.7-0/spam/tests/demo_article-jss-example2.Rout.save |only spam-2.7-0/spam/tests/demo_article-jss.R |only spam-2.7-0/spam/tests/demo_article-jss.Rout.save |only spam-2.8-0/spam/DESCRIPTION | 11 spam-2.8-0/spam/MD5 | 88 +-- spam-2.8-0/spam/NAMESPACE | 12 spam-2.8-0/spam/NEWS.md | 42 + spam-2.8-0/spam/R/definitions.R | 33 - spam-2.8-0/spam/R/eigen.R | 4 spam-2.8-0/spam/R/rmvnorm.R | 46 + spam-2.8-0/spam/R/spamBasis.R |only spam-2.8-0/spam/R/spamChol.R | 327 ++------------ spam-2.8-0/spam/R/spamCholDet.R | 203 -------- spam-2.8-0/spam/build/partial.rdb |binary spam-2.8-0/spam/build/vignette.rds |binary spam-2.8-0/spam/demo/00Index | 9 spam-2.8-0/spam/demo/cholesky.R | 35 - spam-2.8-0/spam/demo/jss10-example1.R | 63 -- spam-2.8-0/spam/demo/jss10-figures-table.R |only spam-2.8-0/spam/demo/jss15-BYM.R | 48 -- spam-2.8-0/spam/demo/jss15-Leroux.R | 53 -- spam-2.8-0/spam/demo/spam.R | 20 spam-2.8-0/spam/demo/timing.R | 22 spam-2.8-0/spam/inst/CITATION | 14 spam-2.8-0/spam/inst/doc/spam.pdf |binary spam-2.8-0/spam/man/allequal.Rd | 37 - spam-2.8-0/spam/man/det.Rd | 24 - spam-2.8-0/spam/man/grid_trace2.Rd | 4 spam-2.8-0/spam/man/grid_zoom.Rd | 7 spam-2.8-0/spam/man/rmvnorm.Rd | 9 spam-2.8-0/spam/man/rmvnorm.cond.Rd |only spam-2.8-0/spam/man/spam-package.Rd | 4 spam-2.8-0/spam/man/spam.Rd | 2 spam-2.8-0/spam/tests/demo_cholesky.Rout.save | 10 spam-2.8-0/spam/tests/demo_jss10-example1.R |only spam-2.8-0/spam/tests/demo_jss10-example1.Rout.save |only spam-2.8-0/spam/tests/demo_jss10-figures-table.R |only spam-2.8-0/spam/tests/demo_jss10-figures-table.Rout.save |only spam-2.8-0/spam/tests/demo_jss15-BYM.Rout.save | 10 spam-2.8-0/spam/tests/demo_jss15-Leroux.Rout.save | 10 spam-2.8-0/spam/tests/demo_spam.Rout.save | 10 spam-2.8-0/spam/tests/demo_timing.Rout.save | 10 spam-2.8-0/spam/tests/jss_areal_counts.Rout.save | 10 spam-2.8-0/spam/tests/testthat.Rout.save |only spam-2.8-0/spam/tests/testthat/test-definitions.R |only spam-2.8-0/spam/tests/testthat/test-helper.R | 65 -- spam-2.8-0/spam/tests/testthat/test-rmvnorm.R |only spam-2.8-0/spam/tests/testthat/test-solve.R | 64 +- 55 files changed, 403 insertions(+), 903 deletions(-)
Title: Flexible Scan Statistics
Description: An easy way to conduct flexible scan.
Monte-Carlo method is used to test the spatial clusters given the cases, population, and shapefile.
A table with formal style and a map with clusters are included in the result report.
The method can be referenced at: Toshiro Tango and Kunihiko Takahashi (2005) <doi:10.1186/1476-072X-4-11>.
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du <dgdzc@hotmail.com>
Diff between FlexScan versions 0.2.1 dated 2021-09-09 and 0.2.2 dated 2022-01-06
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- NAMESPACE | 1 + R/flexscan.R | 2 +- man/flexscan.Rd | 2 ++ 5 files changed, 12 insertions(+), 9 deletions(-)
Title: Structural Additive Cumulative Intensity Models with IV
Description: An instrumental variable estimator under structural cumulative additive intensity model is fitted, that leverages initial randomization as the IV. The estimator can be used to fit an additive hazards model under time to event data which handles treatment switching (treatment crossover) correctly. We also provide a consistent variance estimate.
Author: Andrew Ying
Maintainer: Andrew Ying <aying9339@gmail.com>
Diff between ivsacim versions 1.3.1 dated 2021-08-07 and 2.0.0 dated 2022-01-06
DESCRIPTION | 16 +- MD5 | 34 ++-- NAMESPACE | 17 -- R/RcppExports.R | 23 ++- R/auxiliary.R | 128 +++-------------- R/ivsacim.R | 330 +++++++++++++++++++++++++++++---------------- man/IV_center.Rd | 6 man/invalidivsacim_est.Rd | 29 +++ man/ivsacim.Rd | 13 - man/ivsacim_est.Rd | 6 man/plot.ivsacim.Rd | 5 man/summary.ivsacim.Rd | 11 - man/treatment_status.Rd | 2 man/trt_center.Rd | 2 src/Makevars |only src/Makevars.win |only src/RcppExports.cpp | 21 +- src/invalidivsacim_est.cpp | 311 +++++++++++++++++++----------------------- src/ivsacim_est.cpp | 51 ++++-- 19 files changed, 523 insertions(+), 482 deletions(-)
Title: Package for Community Ecology and Suitability Analysis
Description: Graphical User Interface (via the R-Commander) and utility functions (often based on the vegan package) for statistical analysis of biodiversity and ecological communities, including species accumulation curves, diversity indices, Renyi profiles, GLMs for analysis of species abundance and presence-absence, distance matrices, Mantel tests, and cluster, constrained and unconstrained ordination analysis. A book on biodiversity and community ecology analysis is available for free download from the website. In 2012, methods for (ensemble) suitability modelling and mapping were expanded in the package.
Author: Roeland Kindt [cre, aut] (<https://orcid.org/0000-0002-7672-0712>)
Maintainer: Roeland Kindt <R.KINDT@CGIAR.ORG>
Diff between BiodiversityR versions 2.13-1 dated 2021-04-20 and 2.14-1 dated 2022-01-06
DESCRIPTION | 23 MD5 | 36 NAMESPACE | 1 R/ensemble.PET.season.R | 159 - R/ensemble.PET.seasons.R | 172 - R/ensemble.calibrate.models.R | 53 R/ensemble.calibrate.weights.R | 1287 +++++----- R/ensemble.raster.R | 4368 +++++++++++++++++----------------- R/ensemble.terra.R |only build/partial.rdb |binary inst/ChangeLog | 1706 ++++++------- inst/etc/BiodiversityGUI.R | 7 inst/etc/Rcmdr-RMarkdown-Template.Rmd | 30 inst/etc/Rcmdr-menus.txt | 23 inst/etc/linux/Rcmdr.svg | 2 man/ensemble.PET.season.Rd | 4 man/ensemble.PET.seasons.Rd | 6 man/ensemble.ecocrop.Rd | 2 man/ensemble.raster.Rd | 4 man/ensemble.terra.Rd |only 20 files changed, 4021 insertions(+), 3862 deletions(-)