A_times_x_particle | Matrix-vector multiplication for particle systems |
A_t_times_x_particle | Transpose matrix-vector multiplication for particle systems |
Construct_G_exp | The coefficient matrix in the dynamic linear model when... |
Construct_G_matern_5_2 | The coefficient matrix in the dynamic linear model when... |
Construct_W0_exp | covariance of the stationary distribution of the state when... |
Construct_W0_matern_5_2 | covariance of the stationary distribution of the state when... |
Construct_W_exp | The conditional covariance matrix of the state in the dynamic... |
Construct_W_matern_5_2 | The conditional covariance matrix for matern covariance with... |
extract_time_window | Extract time window from particle data |
FastGaSP-package | Fast and Exact Computation of Gaussian Stochastic Process |
fgasp | Setting up the Fast GaSP model |
fgasp-class | Fast GaSP class |
fit | Fit Particle Interaction Models |
fit.fmou,fmou-method | The fast EM algorithm of multivariate Ornstein-Uhlenbeck... |
fit.gppca,gppca-method | Parameter estimation for generalized probabilistic principal... |
fit.particle.data | Fit method for particle data |
fmou | Setting up the FMOU model |
fmou-class | FMOU class |
f_Vicsek_variation | Modified Vicsek Interaction Function |
get_consecutive_data | Extract consecutive time steps data from particle... |
Get_C_R_K_Q | matrices and vectors for the inverse covariance in the... |
Get_L_inv_y | The multiplication of the inverse of L with y |
Get_log_det_S2 | the natural logarithm of the determinant of the correlation... |
Get_L_t_inv_y | The multiplication of the inverse of the transpose of L with... |
Get_L_t_y | The multiplication of the transpose of L with y |
Get_L_y | The multiplication of L with y |
Get_Q_K | one-step-ahead predictive variance and Kalman gain |
Get_R_y | The multiplication of R with y |
gppca | Setting up the GPPCA model |
gppca-class | GPPCA class |
IKF_CG_particle | IKF-CG algorithm for one-interaction physical model with 1D... |
IKF_CG_particle_cell | Inverse Kalman Filter with Conjugate Gradient for Particle... |
Kalman_smoother | the predictive mean and predictive variance by Kalman... |
log_lik | Natural logarithm of profile likelihood by the fast computing... |
particle.data-class | Particle trajectory data class |
particle.est-class | Particle interaction estimation class |
predict.fgasp | Prediction and uncertainty quantification on the testing... |
predict.fmou,fmou-method | Prediction and uncertainty quantification on the future... |
predict.gppca,gppca-method | Prediction and uncertainty quantification on the future... |
predictobj.fgasp-class | Predictive results for the Fast GaSP class |
Sample_KF | Sample the prior process using a dynamic linear model |
Sample_KF_post | Sample the posterior distribution of the process using the... |
show.fgasp | Show an 'fgasp' object. |
show.particle.data | Show method for particle data class |
show.particle.est | Show method for particle estimation class |
simulate_particle | Simulate particle trajectories |
trajectory_data | Convert experimental particle tracking data to particle.data... |
Vicsek | Vicsek Model Simulation |
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