| cardio.mle |
MLE of some circular distributions |
| cipc.mle |
MLE of some circular distributions |
| cipc.reg |
Circular or angular regression |
| circ.cor1 |
Circular correlations between two circular variables |
| circ.cor2 |
Circular correlations between two circular variables |
| circ.cors1 |
Circular correlations between two circular variables |
| circ.cors2 |
Circular correlations between two circular variables |
| circ.dcor |
Circular distance correlation between two circular variables |
| circ.summary |
Summary statistics for circular data |
| circbeta.mle |
MLE of some circular distributions |
| circexp.mle |
MLE of some circular distributions |
| circlin.cor |
Circular-linear correlation |
| circpurka.reg |
Circular or angular regression |
| colspml.mle |
Column-wise MLE of the angular Gaussian and the von Mises Fisher distributions |
| colvm.mle |
Column-wise MLE of the angular Gaussian and the von Mises Fisher distributions |
| colwatsons |
Column-wise uniformity tests for circular data |
| 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 |
| cosnn |
The k-nearest neighbours using the cosinus distance |
| dcardio |
Density of some circular distributions |
| dcipc |
Density of some circular distributions |
| dcircbeta |
Density of some circular distributions |
| dcircexp |
Density of some circular distributions |
| dcircpurka |
Density of some circular distributions |
| desag |
Density of the spherical ESAG and Kent distributions |
| dgcpc |
Density of some circular distributions |
| dggvm |
Density of some circular distributions |
| dirda.cv |
Cross validation for estimating the classification rate |
| dirknn |
k-NN algorithm using the arc cosinus distance |
| dirknn.tune |
k-NN algorithm using the arc cosinus distance. Tuning the k neigbours |
| dkent |
Density of the spherical ESAG and Kent distributions |
| dmixvmf |
Density of a mixture of von Mises-Fisher distributions |
| dmmvm |
Density of some circular distributions |
| dpkbd |
Density of some (hyper-)spherical distributions |
| dpurka |
Density of some (hyper-)spherical distributions |
| dsespc |
Density of the SESPC distribution |
| dspcauchy |
Density of some (hyper-)spherical distributions |
| dspml |
Density of some circular distributions |
| dvm |
Density of some circular distributions |
| dvmf |
Density of some (hyper-)spherical distributions |
| dwood |
Density of the Wood bimodal distribution on the sphere |
| dwrapcauchy |
Density of some circular distributions |
| embed.aov |
Analysis of variance for (hyper-)spherical data |
| embed.boot |
Bootstrap 2-sample mean test for (hyper-)spherical data |
| embed.circaov |
Analysis of variance for circular data |
| embed.perm |
Permutation based 2-sample mean test for (hyper-)spherical data |
| embedcirc.boot |
Bootstrap 2-sample mean test for circular data |
| embedcirc.perm |
Permutation based 2-sample mean test for circular data |
| esag.contour |
Contour plot (on the plane) of the ESAG and Kent and ESAG distributions without any data |
| esag.da |
Cross validation for estimating the classification rate of a discrminant analysis for directional data assuming an ESAG distribution |
| esag.mle |
MLE of the ESAG distribution |
| esag.reg |
Spherical regression using the ESAG distribution |
| esagda.pred |
Prediction of a new observation using discriminant analysis based on ESAG distribution |
| etoa |
Transform unit vectors to angular data |
| euclid |
Euclidean transformation |
| euclid.inv |
Inverse of the Euclidean transformation |
| eul2rot |
Construct a rotation matrix on SO(3) from the Euler angles. |
| europe |
maps of the world and the continents |
| habeck.rot |
Generation of three-dimensional random rotations using Habeck's algorithm. |
| haversine.dist |
Harvesine distance matrix |
| hcf.aov |
Analysis of variance for (hyper-)spherical data |
| hcf.boot |
Bootstrap 2-sample mean test for (hyper-)spherical data |
| hcf.circaov |
Analysis of variance for circular data |
| hcf.perm |
Permutation based 2-sample mean test for (hyper-)spherical data |
| hcfboot |
Bootstrap ANOVA for (hyper-)spherical data |
| hcfcirc.boot |
Bootstrap 2-sample mean test for circular data |
| hcfcirc.perm |
Permutation based 2-sample mean test for circular data |
| hcfcircboot |
Bootstrap ANOVA for circular data |
| hclr.aov |
Analysis of variance for (hyper-)spherical data |
| hclr.boot |
Bootstrap 2-sample mean test for (hyper-)spherical data |
| hclr.circaov |
Analysis of variance for circular data |
| hclr.perm |
Permutation based 2-sample mean test for (hyper-)spherical data |
| hclrcirc.boot |
Bootstrap 2-sample mean test for circular data |
| hclrcirc.perm |
Permutation based 2-sample mean test for circular data |
| het.aov |
Analysis of variance for (hyper-)spherical data |
| het.boot |
Bootstrap 2-sample mean test for (hyper-)spherical data |
| het.circaov |
Analysis of variance for circular data |
| het.perm |
Permutation based 2-sample mean test for (hyper-)spherical data |
| hetboot |
Bootstrap ANOVA for (hyper-)spherical data |
| hetcirc.boot |
Bootstrap 2-sample mean test for circular data |
| hetcirc.perm |
Permutation based 2-sample mean test for circular data |
| hetcircboot |
Bootstrap ANOVA for circular data |
| makefolds |
Generate random folds for cross-validation |
| 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 |
| mixvmf.contour |
Contour plot of a mixture of von Mises-Fisher distributions model for spherical data only. |
| mixvmf.mle |
Mixtures of Von Mises-Fisher distributions |
| mmvm.mle |
MLE of some circular distributions |
| multispml.mle |
MLE of some circular distributions with multiple samples |
| multivm.mle |
MLE of some circular distributions with multiple samples |
| multivmf.mle |
MLE of (hyper-)spherical rotational symmetric distributions |
| pc.test |
Hypothesis test for SIPC distribution over the SESPC distribution |
| pcardio |
Cumulative distribution function of circular distributions |
| pcipc |
Cumulative distribution function of circular distributions |
| pcircbeta |
Cumulative distribution function of circular distributions |
| pcircexp |
Cumulative distribution function of circular distributions |
| pcircpurka |
Cumulative distribution function of circular distributions |
| pgcpc |
Cumulative distribution function of circular distributions |
| pkbd.contour |
Contour plots of some rotational symmetric distributions |
| pkbd.mle |
MLE of (hyper-)spherical rotational symmetric distributions |
| pmmvm |
Cumulative distribution function of circular distributions |
| pspml |
Cumulative distribution function of circular distributions |
| ptest |
Projections based test of uniformity |
| purka.contour |
Contour plots of some rotational symmetric distributions |
| purka.da |
Cross validation for estimating the classification rate of a discrminant analysis for directional data assuming a Purkayastha distribution |
| purka.mle |
MLE of the Purkayashta distribution |
| purkada.pred |
Prediction of a new observation using discriminant analysis based on Purkayastha distribution |
| pvm |
Cumulative distribution function of circular distributions |
| pwrapcauchy |
Cumulative distribution function of circular distributions |
| racg |
Angular central Gaussian random values simulation |
| rayleigh |
Rayleigh's test of uniformity |
| rbingham |
Simulation from a Bingham distribution using any symmetric matrix A |
| rcipc |
Simulation of random values from some circular distributions |
| rcircbeta |
Simulation of random values from some circular distributions |
| rcircexp |
Simulation of random values from some circular distributions |
| rcircpurka |
Simulation of random values from some circular distributions |
| read.fbm |
Read a file as a Filebacked Big Matrix |
| resag |
Simulation of random values from the ESAG distribution |
| rfb |
Simulation of random values from a spherical Fisher-Bingham distribution |
| rgcpc |
Simulation of random values from some circular distributions |
| riag |
Simulation of random values from rotationally symmetric distributions |
| rkent |
Simulation of random values from a spherical Kent distribution |
| rmatrixfisher |
Simulation from a Matrix Fisher distribution on SO(3) |
| rmixvmf |
Simulation of random values 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 |
| rpkbd |
Simulation of random values from rotationally symmetric distributions |
| rsespc |
Simulation of random values from the SESPC distribution |
| rsop |
Random sample of matrices in SO(p) |
| rspcauchy |
Simulation of random values from rotationally symmetric distributions |
| rspml |
Simulation of random values from some circular distributions |
| rvmf |
Simulation of random values from rotationally symmetric distributions |
| rvonmises |
Simulation of random values from some circular distributions |
| rwrapcauchy |
Simulation of random values from some circular distributions |
| sespc.mle |
MLE of the SESPC distribution |
| sespc.reg |
Spherical regression using the SESPC distribution |
| sipc.mle |
MLE of (hyper-)spherical rotational symmetric distributions |
| sipc.reg |
Spherical regression using rotationally symmetric distributions |
| south.america |
maps of the world and the continents |
| spcauchy.contour |
Contour plots of some rotational symmetric distributions |
| spcauchy.mle |
MLE of (hyper-)spherical rotational symmetric distributions |
| spher.cor |
Spherical-spherical correlation |
| spher.dcor |
Spherical and hyper-spherical distance correlation |
| spher.esag.contour |
Contour plot (on the sphere) of the ESAG and Kent distributions |
| spher.kent.contour |
Contour plot (on the sphere) of the ESAG and Kent distributions |
| spher.mixvmf.contour |
Contour plot (on the sphere) of a mixture of von Mises-Fisher distributions |
| spher.pkbd.contour |
Contour plot (on the sphere) of some spherical rotational symmetric distributions |
| spher.purka.contour |
Contour plot (on the sphere) of some spherical rotational symmetric distributions |
| spher.reg |
Spherical-Spherical regression |
| spher.sespc.contour |
Contour plot (on the sphere) of the SESPC distribution |
| spher.spcauchy.contour |
Contour plot (on the sphere) of some spherical rotational symmetric distributions |
| spher.vmf.contour |
Contour plot (on the sphere) of some spherical rotational symmetric distributions |
| spherconc.test |
Test for equality of concentration parameters for spherical data |
| sphereplot |
Interactive 3D plot of spherical data |
| spml.fbed |
Forward Backward Early Dropping selection for circular data using the SPML regression |
| spml.mle |
MLE of some circular distributions |
| spml.nb |
Naive Bayes classifiers for directional data |
| spml.reg |
Circular or angular regression |
| spml.regs |
Many simple circular or angular regressions |
| spmlnb.pred |
Prediction with some naive Bayes classifiers for circular data |
| vec |
Generation of 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 |
| vm.nb |
Naive Bayes classifiers for directional data |
| vmf.contour |
Contour plots of some rotational symmetric distributions |
| 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 |
| vmf.mle |
MLE of (hyper-)spherical rotational symmetric distributions |
| vmf.reg |
Spherical regression using rotationally symmetric distributions |
| vmfda.pred |
Prediction of a new observation using discriminant analysis based on von Mises-Fisher distribution |
| 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 |
| vmnb.pred |
Prediction with some naive Bayes classifiers for circular data |
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