| cardio.mle | MLE of some circular distributions | 
| cipc.mle | MLE of some circular distributions | 
| 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.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 | 
| 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 | 
| hcfcirc.boot | Bootstrap 2-sample mean test for circular data | 
| hcfcirc.perm | Permutation based 2-sample mean test 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 | 
| hetcirc.boot | Bootstrap 2-sample mean test for circular data | 
| hetcirc.perm | Permutation based 2-sample mean test 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 | 
| 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 | 
| 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 | 
| rsespc | Simulation of random values from the SESPC distribution | 
| rsop | Random sample of matrices in SO(p) | 
| 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 | 
| sipc.mle | MLE of (hyper-)spherical rotational 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.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.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 the projected normal or the von Mises-Fisher distribution | 
| 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 |