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davidbolin

excursions:Excursion Sets and Contour Credibility Regions for Random Fields

Functions that compute probabilistic excursion sets, contour credibility regions, contour avoiding regions, and simultaneous confidence bands for latent Gaussian random processes and fields. The package also contains functions that calculate these quantities for models estimated with the INLA package. The main references for excursions are Bolin and Lindgren (2015) <doi:10.1111/rssb.12055>, Bolin and Lindgren (2017) <doi:10.1080/10618600.2016.1228537>, and Bolin and Lindgren (2018) <doi:10.18637/jss.v086.i05>. These can be generated by the citation function in R.

Maintained by David Bolin. Last updated 11 days ago.

gslcppopenmp

3 stars 6.64 score 40 scripts 1 dependents

paulnorthrop

smovie:Some Movies to Illustrate Concepts in Statistics

Provides movies to help students to understand statistical concepts. The 'rpanel' package <https://cran.r-project.org/package=rpanel> is used to create interactive plots that move to illustrate key statistical ideas and methods. There are movies to: visualise probability distributions (including user-supplied ones); illustrate sampling distributions of the sample mean (central limit theorem), the median, the sample maximum (extremal types theorem) and (the Fisher transformation of the) product moment correlation coefficient; examine the influence of an individual observation in simple linear regression; illustrate key concepts in statistical hypothesis testing. Also provided are dpqr functions for the distribution of the Fisher transformation of the correlation coefficient under sampling from a bivariate normal distribution.

Maintained by Paul J. Northrop. Last updated 1 years ago.

central-limit-theoremcorrelation-coefficientextremal-types-theoremextremeshypothesis-testinglikelihood-ratio-testlinear-regressionlog-likelihoodmovieprobability-distributionsregressionscore-teststatistical-conceptsstatisticsstatistics-learningteachingteaching-materialstest-statisticwald-test

1 stars 3.70 score 10 scripts

vald

timetools:Seasonal/Sequential (Instants/Durations, Even or not) Time Series

Objects to manipulate sequential and seasonal time series. Sequential time series based on time instants and time duration are handled. Both can be regularly or unevenly spaced (overlapping duration are allowed). Only POSIX* format are used for dates and times. The following classes are provided : 'POSIXcti', 'POSIXctp', 'TimeIntervalDataFrame', 'TimeInstantDataFrame', 'SubtimeDataFrame' ; methods to switch from a class to another and to modify the time support of series (hourly time series to daily time series for instance) are also defined. Tools provided can be used for instance to handle environmental monitoring data (not always produced on a regular time base).

Maintained by Vladislav Navel. Last updated 7 days ago.

1.08 score 12 scripts

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