add_dis_age | Easily add the disease-related age variable to a data frame |
add_factor | Easily add a categorical covariate to a data frame |
add_factor_crossing | Add a crossing of two factors to a data frame |
adjusted_c_hat | Set the GP mean vector, taking TMM or other normalization... |
apply_scaling | Apply variable scaling |
as_character | Character representations of different formula objects |
create_model | Create a model |
create_model.covs_and_comps | Parse the covariates and model components from given data and... |
create_model.formula | Create a model formula |
create_model.likelihood | Parse the response variable and its likelihood model |
create_model.options | Parse the given modeling options |
create_model.prior | Parse given prior |
create_plot_df | Helper function for plots |
create_scaling | Create a standardizing transform |
dinvgamma_stanlike | Density and quantile functions of the inverse gamma... |
draw_pred | Draw pseudo-observations from posterior or prior predictive... |
example_fit | Quick way to create an example lgpfit, useful for debugging |
fit_summary | Print a fit summary. |
GaussianPrediction-class | An S4 class to represent analytically computed predictive... |
get_draws | Extract parameter draws from lgpfit or stanfit |
get_pred | Extract model predictions and function posteriors |
kernel | Compute a kernel matrix (covariance matrix) |
KernelComputer-class | An S4 class to represent input for kernel matrix computations |
lgp | Main function of the 'lgpr' package |
lgpexpr-class | An S4 class to represent an lgp expression |
lgpfit-class | An S4 class to represent the output of the 'lgp' function |
lgpformula-class | An S4 class to represent an lgp formula |
lgpmodel-class | An S4 class to represent an additive GP model |
lgprhs-class | An S4 class to represent the right-hand side of an lgp... |
lgpr-package | The 'lgpr' package. |
lgpscaling-class | An S4 class to represent variable scaling |
lgpsim-class | An S4 class to represent a data set simulated using the... |
lgpterm-class | An S4 class to represent one formula term |
model_summary | Print a model summary. |
new_x | Create test input points for prediction |
operations | Operations on formula terms and expressions |
plot_api_c | Plot a generated/fit model component |
plot_api_g | Plot longitudinal data and/or model fit so that each... |
plot_components | Visualize all model components |
plot_data | Vizualizing longitudinal data |
plot_draws | Visualize the distribution of parameter draws |
plot_inputwarp | Visualize input warping function with several steepness... |
plot_invgamma | Plot the inverse gamma-distribution pdf |
plot_pred | Visualizing model predictions or inferred covariate effects |
plot_sim | Visualize an lgpsim object (simulated data) |
ppc | Graphical posterior predictive checks |
pred | Posterior predictions and function posteriors |
Prediction-class | An S4 class to represent prior or posterior draws from an... |
prior_pred | Prior (predictive) sampling |
priors | Prior definitions |
prior_to_num | Convert given prior to numeric format |
read_proteomics_data | Function for reading the built-in proteomics data |
relevances | Assess component relevances |
s4_generics | S4 generics for lgpfit, lgpmodel, and other objects |
sample_model | Fitting a model |
select | Select relevant components |
show | Printing formula object info using the show generic |
sim.create_f | Simulate latent function components for longitudinal data... |
sim.create_x | Create an input data frame X for simulated data |
sim.create_y | Simulate noisy observations |
sim.kernels | Compute all kernel matrices when simulating data |
simulate_data | Generate an artificial longitudinal data set |
split | Split data into training and test sets |
testdata_001 | A very small artificial test data, used mostly for unit tests |
testdata_002 | Medium-size artificial test data, used mostly for tutorials |
validate | Validate S4 class objects |
var_mask | Variance masking function |
warp_input | Input warping function |
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