Directional-package |
This is an R package that provides methods for the statistical analysis of Directional data. |
acg |
MLE of the angular central Gaussian distribution |
Arotation |
Rotation axis and angle of rotation given a rotation matrix |
bic.mixvmf |
BIC to choose the number of components in a model based clustering using mixtures of von Mises-Fisher distributions |
circ.cor1 |
Circurlar correlations between two circular variables |
circ.cor2 |
Circurlar correlations between two circular variables |
circ.summary |
Summary statistics for circular data |
circlin.cor |
Circular-linear correlation |
conc.test |
A test for testing the equality of the concentration parameter among g samples, where g >= 2 for ciruclar data |
cosap |
Conversion of cosines to azimuth and plunge |
dirknn |
k-NN algorithm using the arc cosinus distance |
dirknn.tune |
k-NN algorithm using the arc cosinus distance. Tuning the k neigbours |
embed.aov |
Analysis of variance for (hyper-)spherical data |
embed.circaov |
Analysis of variance for circular data |
ESAGdensity |
Density of the ESAG distribution |
ESAGmle |
MLE of the ESAG distribution |
ESAGsim |
Random values generation from the ESAG distribution |
euclid |
Euclidean transformation |
euclid.inv |
Inverse of the Euclidean transformation |
eul2rot |
Construct a rotation matrix on SO(3) from the Euler angles. |
f.rbing |
Simulating from a Bingham distribution |
fb.saddle |
Saddlepoint approximations of the Fisher-Bingham distributions |
fishkent |
Hypothesis test for von Mises-Fisher distribution over Kent distribution |
ggvm |
MLE of the geometrically generalised von Mises distribution |
group.gof |
Goodness of fit test for grouped data |
group.vm |
Summary statistics for grouped circular data |
habeck.rot |
Generation of three-dimensional random rotations using Habeck's algorithm. |
hcf.aov |
Analysis of variance for (hyper-)spherical data |
hcf.circaov |
Analysis of variance for circular data |
het.aov |
Analysis of variance for (hyper-)spherical data |
het.circaov |
Analysis of variance for circular data |
iag.mle |
MLE of the spherical projected normal distribution |
kent.contour |
Contour plot of the Kent distribution without any data |
kent.datacontour |
Contour plot of the Kent distribution for some data |
kent.logcon |
Logarithm of the Kent distribution normalizing constant |
kent.mle |
MLe of the Kent distribution |
knn.reg |
k-NN regression with Euclidean or (hyper-)spherical response and or predictor variables |
knnreg.tune |
Tuning of the k-NN regression with Euclidean or (hyper-)spherical response and or predictor variables |
kuiper |
Uniformity tests for circular data. |
lambert |
Lambert's equal area projection |
lambert.inv |
Inverse of Lambert's equal area projection |
lr.aov |
Analysis of variance for (hyper-)spherical data |
lr.circaov |
Analysis of variance for circular data |
matrixfisher.mle |
Mle of the Matrix Fisher distribution on SO(3) |
meandir.test |
Test for a given mean direction |
mediandir |
Fast calculation of the spherical and hyperspherical median |
mediandir_2 |
Fast calculation of the spherical and hyperspherical median |
mix.vmf |
Mixtures of Von Mises-Fisher distributions |
mixvmf.contour |
Contour plot of a mixture of von Mises-Fisher distributions model for spherical data only. |
pvm |
Probability density function of the von Mises-Fisher distribution |
quat2rot |
Converting an unsigned unit quaternion to rotation matrix on SO(3) |
racg |
Angular central Gaussian random values simulation |
rayleigh |
Rayleigh's test of uniformity |
rbingham |
Simulation from a Bingham distribution using any symmetric matrix A |
rfb |
Simulation of random values from a spherical Fisher-Bingham distribution |
rkent |
Simulation of random values from a spherical Kent distribution |
rmatrixfisher |
Simulation from a Matrix Fisher distribution on SO(3) |
rmixvmf |
Random values simulation from a mixture of von Mises-Fisher distributions |
rot.matrix |
Rotation matrix from a rotation axis and angle of rotation |
rot2eul |
Compute the Euler angles from a rotation matrix on SO(3). |
rot2quat |
Converting a rotation matrix on SO(3) to an unsigned unit quaternion |
rotation |
Rotation matrix to rotate a spherical vector along the direction of another |
rsop |
Random sample of matrices in SO(p) |
rvmf |
Random values simulation from a von Mises-Fisher distribution |
rvonmises |
Random values simulation from a von Mises distribution |
spher.cor |
Spherical-spherical correlation |
spher.reg |
Spherical-Spherical regression |
spherconc.test |
Test for equality of concentration parameters for spherical data |
spml.mle |
MLE of some circular distributions |
spml.reg |
Circular or angular regression |
tang.conc |
A test for testing the equality of the concentration parameter among g samples, where g >= 2 for ciruclar data |
vec |
Unit vector(s) with a given angle |
visual.check |
Check visually whether matrix Fisher samples is correctly generated or not. |
vm.kde |
Kernel density estimation of circular data with a von Mises kernel |
vmf |
MLE of von Mises-Fisher distribution |
vmf.contour |
Contour plots of the von Mises-Fisher distribution on the sphere |
vmf.da |
Cross validation for estimating the classification rate of a discrminant analysis for directional data assuming a von Mises-Fisher distribution |
vmf.kde |
Kernel density estimation for (hyper-)spherical data using a von Mises-Fisher kernel |
vmf.kerncontour |
Contour plot of spherical data using a von Mises-Fisher kernel density estimate |
vmfda.pred |
Prediction of a new observation using discriminant analysis based on von Mises-Fisher distributions |
vmfkde.tune |
Tuning of the bandwidth parameter in the von Mises-Fisher kernel for (hyper-)spherical data |
vmkde.tune |
Tuning of the bandwidth parameter in the von Mises kernel for circular data |
watson |
Uniformity tests for circular data. |
wood.mle |
MLe of the Wood bimodal distribution on the sphere |
wrapcauchy |
MLE of some circular distributions |