lifecontingencies, MortalityLaws, knitr, tidyverse,
rmarkdown, reshape2
'DocumentData.R' 'mortalityTable.R' 'mortalityTable.period.R'
'mortalityTable.ageShift.R' 'ageShift.R'
'mortalityTable.joined.R' 'mortalityTable.mixed.R' 'ages.R'
'baseTable.R' 'baseYear.R' 'fillAges.R' 'pensionTable.R'
'commutationNumbers.R' 'mortalityTable.improvementFactors.R'
'mortalityTable.trendProjection.R' 'deathProbabilities.R'
'getCohortTable.R' 'getOmega.R' 'getPeriodTable.R'
'lifeTable.R' 'makeQxDataFrame.R' 'mortalityComparisonTable.R'
'mortalityImprovement.R' 'mortalityTable.MakehamGompertz.R'
'mortalityTable.Weibull.R' 'mortalityTable.deMoivre.R'
'periodDeathProbabilities.R' 'mortalityTable.jointLives.R'
'utilityFunctions.R' 'mortalityTable.observed.R'
'mortalityTables.list.R' 'mortalityTables.load.R'
'plot.mortalityTable.R' 'plotMortalityTableComparisons.R'
'plotMortalityTables.R' 'plotMortalityTrend.R' 'setLoading.R'
'setModification.R' 'undampenTrend.R'
'whittaker.mortalityTable.R'

ggplot2, methods, scales, utils, pracma, R (>= 2.10)

Katharina Dannenberg, Jeffrey Berry, Johannes Textor
Statistics to quantify tracks of moving things (x-y-z-t data),
such as cells, bacteria or animals. Available measures include mean square
displacement, confinement ratio, autocorrelation, straightness, turning angle,
and fractal dimension.
stats, grDevices, graphics, utils, ellipse

Johannes Textor, Katharina Dannenberg, Jeffrey Berry, Gerhard Burger

Using Web Crawler to Obtain Real-Time Movie Data for Further
Analysis
With this package, users can get access to some of the most authoritative movie-rating websites( <https://movie.douban.com> and <https://www.imdb.com> ). Using wed crawler users can obtain real-time movie data. By using different functions, users can obtain data of the top rated movies as well as the recent most popular movies. The obtained data, which can be used for further analysis, includes the names, release time as well as their ratings, etc.

Automating Mplus Model Estimation and Interpretation
The MplusAutomation package leverages the flexibility of
the R language to automate latent variable model estimation and
interpretation using Mplus, a powerful latent variable modeling
program developed by Muthen and Muthen (www.statmodel.com).
Specifically, MplusAutomation provides routines for creating
related groups of models, running batches of models, and
extracting and tabulating model parameters and fit statistics.