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The GPstuff toolbox is a versatile collection of Gaussian process models and computational tools required for inference. The tools include, among others, various inference methods, sparse approximations and model assessment methods.
Cite As
Aki Vehtari (2024). GPstuff (https://github.com/gpstuff-dev/gpstuff), GitHub. Retrieved .
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Industrial Statistics >
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Regression > Model Building and Assessment > Bayesian Regression >
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diag
- acorr
- acorr2
- acorrtime
- aucs
- auct
- cipsrf
- cmpsrf
- Contents.m
- cpsrf
- custats
- cusum
- derivativecheck
- diag_install
- ext_auc
- gbinit
- gbiter
- geyer_icse
- geyer_imse
- gradcheck
- hair
- hcs
- hct
- hpdi
- idis
- ipsrf
- kernel1
- kernelp
- kernels
- ksstat
- mpsrf
- ndhist
- psrf
- rsqr
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dist
- betarand
- beta_cdf
- beta_inv
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- catrand
- Contents.m
- dirrand
- dir_lpdf
- dir_pdf
- dist_install
- exprand
- gamrand
- gamrand1
- gam_cdf
- gam_lpdf
- gam_pdf
- geo_lpdf
- hammersley
- intrand
- invgamrand
- invgamrand1
- invgam_lpdf
- invgam_pdf
- invwishrand
- laplace_lpdf
- laplace_pdf
- logn_lpdf
- logt_lpdf
- mnorm_lpdf
- mnorm_pdf
- nbin_cdf
- nbin_inv
- nbin_pdf
- negbinztr_lpdf
- negbinztr_pdf
- negbin_lpdf
- negbin_pdf
- normltrand
- normrtrand
- normtrand
- normtzrand
- norm_cdf
- norm_inv
- norm_lpdf
- norm_pdf
- poiss_lpdf
- poiss_pdf
- prior_corrunif
- prior_fixed
- prior_gamma
- prior_gaussian
- prior_invgamma
- prior_invt
- prior_invunif
- prior_laplace
- prior_loggaussian
- prior_loglogunif
- prior_logt
- prior_logunif
- prior_sinvchi2
- prior_sqinvgamma
- prior_sqinvlogunif
- prior_sqinvsinvchi2
- prior_sqinvunif
- prior_sqrtinvt
- prior_sqrtinvunif
- prior_sqrtt
- prior_sqrtunif
- prior_t
- prior_unif
- sinvchi2rand
- sinvchi2_lpdf
- sinvchi2_pdf
- trand
- t_cdf
- t_inv
- t_lpdf
- t_pdf
- unifrand
- wishrand
gp
- cf_exp_to_ss
- cf_matern32_to_ss
- cf_matern52_to_ss
- cf_periodic_to_ss
- cf_prod_to_ss
- cf_quasiperiodic_to_ss
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- cf_se_to_ss
- cf_sum_to_ss
- Contents.m
- demo_additive.m
- demo_bayesoptimization1.m
- demo_bayesoptimization2.m
- demo_bayesoptimization3.m
- demo_binomial1.m
- demo_binomial2.m
- demo_binomial_apc.m
- demo_classific.m
- demo_derivativeobs.m
- demo_derivatives.m
- demo_epinf.m
- demo_hierprior.m
- demo_hurdle.m
- demo_improvemarginals.m
- demo_improvemarginals2.m
- demo_inputdependentnoise.m
- demo_inputdependentweibull.m
- demo_kalman1.m
- demo_kalman2.m
- demo_lgcp.m
- demo_lgpdens.m
- demo_loopred.m
- demo_mcmc.m
- demo_memorysave.m
- demo_minimal.m
- demo_modelassesment1.m
- demo_modelassesment2.m
- demo_monotonic.m
- demo_monotonic2.m
- demo_multiclass.m
- demo_multiclass_nested_ep.m
- demo_multinom.m
- demo_multivariategp.m
- demo_neuralnetcov.m
- demo_passgp.m
- demo_periodic.m
- demo_quantilegp.m
- demo_regression1.m
- demo_regression_additive1.m
- demo_regression_additive2.m
- demo_regression_hier.m
- demo_regression_meanf.m
- demo_regression_ppcs.m
- demo_regression_robust.m
- demo_regression_sparse1.m
- demo_regression_sparse2.m
- demo_spatial1.m
- demo_spatial2.m
- demo_survival_aft.m
- demo_survival_coxph.m
- demo_svi_classific.m
- demo_svi_regression.m
- demo_ziloggaussian.m
- demo_zinegbin.m
- esls
- expectedimprovement_eg
- expectedvariance_eg
- expm
- gpcf_additive
- gpcf_cat
- gpcf_constant
- gpcf_covar
- gpcf_exp
- gpcf_linear
- gpcf_linearLogistic
- gpcf_linearMichelismenten
- gpcf_mask
- gpcf_matern32
- gpcf_matern52
- gpcf_neuralnetwork
- gpcf_noise
- gpcf_periodic
- gpcf_ppcs0
- gpcf_ppcs1
- gpcf_ppcs2
- gpcf_ppcs3
- gpcf_prod
- gpcf_rq
- gpcf_scaled
- gpcf_sexp
- gpcf_squared
- gpcf_sum
- gpep_e
- gpep_g
- gpep_jpred
- gpep_looe
- gpep_loog
- gpep_loopred
- gpep_pred
- gpep_predgrad
- gpia_jpred
- gpia_jpreds
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- gpia_pak
- gpia_pred
- gpia_unpak
- gpla_e
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- gpla_jpred
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- gpmc_jpred
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- gpmc_loopred
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- gpmc_pred
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- gpmf_squared
- gpsvi_e
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- gpsvi_predgrad
- gp_avpredcomp
- gp_cov
- gp_cpred
- gp_dcov
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- gp_dtrcov
- gp_e
- gp_eg
- gp_g
- gp_ia
- gp_install
- gp_jpred
- gp_kfcv
- gp_kfcve
- gp_kfcv_cdf
- gp_looe
- gp_looeg
- gp_loog
- gp_loopred
- gp_mc
- gp_monotonic
- gp_optim
- gp_pak
- gp_peff
- gp_plot
- gp_pred
- gp_predcdf
- gp_predcm
- gp_predprctmu
- gp_predprcty
- gp_rnd
- gp_set
- gp_trcov
- gp_trvar
- gp_unpak
- gp_waic
- lgcp
- lgpdens
- lgpdens_cum
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- lik_coxph
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- lik_gaussian
- lik_gaussiansmt
- lik_inputdependentnoise
- lik_inputdependentweibull
- lik_laplace
- lik_lgp
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- lik_liks
- lik_loggaussian
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- lik_multinom
- lik_multinomprobit
- lik_negbin
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- lik_probit
- lik_qgp
- lik_softmax
- lik_t
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- lik_zinegbin
- metric_distancematrix
- metric_euclidean
- passgp
- pred_coxph
- pred_coxphhs
- pred_coxphp
- scaled_hmc
- scaled_mh
- ss_balance
- surrogate_sls
- svigp
gp/private
- dist_euclidean
- gp_finddeltadist
- gp_looprep
- hash_sha512
- ldlrowmodify
- mean_gf
- mean_jpredf
- mean_predf
- mean_prep
- mvm_fft
- mvm_kron
- quad_moments
- spinv
- trcov
mc
- batchmc
- bbmean
- bbprctile
- Contents.m
- gibbs
- hmc2
- hmc2_opt
- hmc_nuts
- join
- mc_install
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- metrop2_opt
- randpick
- resampdet
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- resampsim
- resampstr
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- sls
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- sls1mm_opt
- sls_opt
- take_nth
- thin
mc/private
misc
- addlogs
- binsgeq
- Contents.m
- cvit
- denormdata
- gpdfitnew
- gpstuff_version
- hmean
- logit
- logitinv
- m2kml
- mapcolor
- mapcolor2
- mapcolor_log
- normdata
- psislw
- setrandstream
- set_PIC
- softmax2
- str2fun
- sumlogs
- violinplot
- wmean
- wprctile
optim
tests
- rundemo
- runtestset
- test_bayesoptimization1
- test_bayesoptimization2
- test_bayesoptimization3
- test_binomial1
- test_binomial2
- test_binomial_apc
- test_classific
- test_derivativeobs
- test_derivatives
- test_epinf
- test_hierprior
- test_hurdle
- test_improvemarginals
- test_kalman1
- test_kalman2
- test_lgcp
- test_loopred
- test_memorysave
- test_modelassesment1
- test_modelassesment2
- test_monotonic2
- test_multiclass
- test_multiclass_nested_ep
- test_multinom
- test_multivariategp
- test_neuralnetcov
- test_periodic
- test_quantilegp
- test_regression1
- test_regression_additive1
- test_regression_additive2
- test_regression_hier
- test_regression_meanf
- test_regression_ppcs
- test_regression_robust
- test_regression_sparse1
- test_regression_sparse2
- test_spatial1
- test_spatial2
- test_survival_aft
- test_survival_coxph
- test_svi_classific
- test_svi_regression
- test_zinegbin
- verifyVarsEqual
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Version | Published | Release Notes | |
---|---|---|---|
4.6.0.0 |
|
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