What documentation exists for R?
What documentation exists for R?
What documentation exists for R?
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Chapter 5: R Add-On Packages 41<br />
femmeR Output analysis of FEMME model results.<br />
ffmanova Fifty-fifty MANOVA.<br />
fgac Families of Generalized Archimedean Copulas.<br />
fields A collection of programs <strong>for</strong> curve and function fitting with an emphasis on spatial<br />
data. The major methods implemented include cubic and thin plate splines,<br />
universal Kriging and Kriging <strong>for</strong> large data sets. The main feature is that any<br />
covariance function implemented in R can be used <strong>for</strong> spatial prediction.<br />
filehash Simple file-based hash table.<br />
filehashSQLite<br />
Simple key-value database using SQLite as the backend.<br />
financial Solving financial problems in R.<br />
fingerprint<br />
Functions to operate on binary fingerprint data.<br />
flexclust Flexible cluster algorithms.<br />
flexmix Flexible Mixture Modeling: a general framework <strong>for</strong> finite mixtures of regression<br />
models using the EM algorithm.<br />
fmri Functions <strong>for</strong> the analysis of fMRI experiments.<br />
<strong>for</strong>ecasting<br />
A bundle with functions and datasets <strong>for</strong> <strong>for</strong>ecasting. Contains <strong>for</strong>ecast (time<br />
series <strong>for</strong>ecasting), fma (data sets from the book “Forecasting: Methods and<br />
Applications” by Makridakis, Wheelwright & Hyndman, 1998), and Mcomp<br />
(data from the M-competitions).<br />
<strong>for</strong>eign Functions <strong>for</strong> reading and writing data stored by statistical software like<br />
Minitab, S, SAS, SPSS, Stata, Systat, etc. Recommended.<br />
<strong>for</strong>k Functions <strong>for</strong> handling multiple processes: simple wrappers around the Unix<br />
process management API calls.<br />
<strong>for</strong>tunes R <strong>for</strong>tunes.<br />
<strong>for</strong>ward Forward search approach to robust analysis in linear and generalized linear<br />
regression models.<br />
fpc Fixed point clusters, clusterwise regression and discriminant plots.<br />
fracdiff Maximum likelihood estimation of the parameters of a fractionally differenced<br />
ARIMA(p, d, q) model (Haslett and Raftery, Applied Statistics, 1989).<br />
frailtypack<br />
Fit a shared gamma frailty model and Cox proportional hazards model using a<br />
Penalized Likelihood on the hazard function.<br />
ftnonpar Features and strings <strong>for</strong> nonparametric regression.<br />
fuzzyRankTests<br />
Fuzzy rank tests and confidence intervals.
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