bd_addfit | Add a model fit to a blooddata object |
bd_addfitpars | Add model fit parameters to a blooddata object |
bd_addfitted | Add fitted values from another fit to a blooddata object |
bd_blood_dispcor | Perform Dispersion Correction on a blooddata object |
bd_create_input | Create an input object from a blooddata object |
bd_extract | Extract data from blooddata objects |
bd_getdata | Create an input object from a blooddata object. |
bd_tidy_times | Tidy time information for blooddata operations |
bids_create_blooddata | Create a blooddata object from BIDS data |
bids_filename_attributes | Extract BIDS attributes from filenames and file paths |
bids_parse_blood | Extract blood data from BIDS study folder |
bids_parse_files | Extract the filenames from a PET BIDS study |
bids_parse_study | Parse the contents of a PET BIDS study |
blmod_exp | Blood Model: Exponential |
blmod_exp_startpars | Create starting parameters for an exponential blood model |
blmod_feng | Blood Model: Feng |
blmod_fengconv | Blood Model: FengConv |
blmod_fengconv_model | Convolved Feng model for fitting of arterial input functions |
blmod_fengconvplus | Blood Model: FengConv plus a rise term |
blmod_fengconvplus_model | Convolved Feng model for fitting of arterial input functions... |
blmod_feng_model | Feng model for fitting of arterial input functions |
blmod_feng_startpars | Create starting parameters for an Feng blood model |
blmod_splines | Blood Model: Splines |
blmod_tidyinput | Blood Model: Tidy inputs |
blmod_triexp_model | Tri-exponential model for fitting of arterial input functions |
blood_dispcor | Perform dispersion correction on blood data collected using... |
blood_interp | Interpolate Blood Curves |
blood_smooth | Smooth continuous blood data |
bloodstream_import_aifpars | Import bloodstream AIF fitted parameters |
bloodstream_import_inputfunctions | Import bloodstream input functions |
blood_weights_create | Create Weights for Modelling Whole Blood and AIF Data |
coef_kinfit | Extract coefficients |
create_blooddata_bids | Create a blooddata object from BIDS data |
create_blooddata_components | Create a blooddata object from data vectors |
decay_correct | Perform Decay Correction of TAC values |
decay_uncorrect | Reverse Decay Correction of TAC values |
feng_1tc_tac | Feng input model convolved with a 1TC IRF |
feng_1tc_tac_model | Model: Feng input model convolved with a 1TC IRF |
fix_multstartpars | Check and fix multstart parameters |
frame_cumsum | Cumulative integral over frames |
frtm | Full Reference Tissue Model |
frtm_model | Model: Full Reference Tissue Model |
get_se | Estimate the standard error of parameters using the delta... |
kinfit_convolve | Convolution Function |
lin2tcm | Linear Two Tissue Compartment Model |
lin2tcm_inpshiftProfile | Profile the inpshift using the linearised 2TCM |
Loganplot | Logan Plot |
Logan_tstar | Tstar Finder: Logan Plot |
ma1 | Ichise Multilinear Analysis 1 |
ma1_tstar | Tstar Finder: Ichise Multilinear Analysis 1 |
ma2 | Ichise Multilinear Analysis 2 |
maxpercres | Maximum Percentage Residual |
metab_exponential | Fit an Exponential Function for Modelling Parent Fraction. |
metab_exponential_model | Exponential Function Model for Parent Fraction |
metab_gamma | Fit the Gamma Function for Modelling Parent Fraction. |
metab_gamma_model | Gamma Function for Parent Fraction |
metab_hill | Fit a Hill Function to Model Parent Fraction |
metab_hill_model | Hill Function Model for Parent Fraction |
metab_invgamma | Fit the Inverted Gamma Function for Modelling Parent... |
metab_invgamma_model | Inverse Gamma Function Model for Parent Fraction |
metab_power | Fit a Power Function for Modelling Parent Fraction. |
metab_power_model | Power Model for Parent Fraction |
metab_sigmoid | Fit a sigmoid function for Parent Fraction. |
metab_sigmoid_model | Sigmoid Model for Parent Fraction |
mlLoganplot | Multilinear Logan Plot |
mlLogan_tstar | Tstar Finder: Multilinear Logan Plot |
mrtm1 | Ichise's Multilinear Reference Tissue Model |
mrtm1_tstar | Tstar Finder: MRTM1 |
mrtm2 | Ichise's Multilinear Reference Tissue Model 2 |
mrtm2_tstar | Tstar Finder: MRTM2 |
oldbids_json | Old BIDS specification JSON Data |
onetcm | One Tissue Compartment Model |
onetcm_fitDelay_model | Model: One Tissue Compartment Model with Delay |
onetcm_model | Model: One Tissue Compartment Model |
Patlakplot | Patlak Plot |
Patlak_tstar | Tstar Finder: Patlak Plot |
pbr28 | PBR28 Test-Retest Data |
pipe | Pipe operator |
plot_1tcmfit | Plot: One Tissue Compartment Model |
plot_2tcm1kfit | Plot: Two Tissue Compartment Model with Irreversible Trapping |
plot_2tcmfit | Plot: Two Tissue Compartment Model |
plot_blooddata | Plot a blooddata object |
plot.blooddata | Plot blood data |
plot_feng_1tc_tacfit | Plot Feng input model convolved with a 1TC IRF fit |
plot_frtmfit | Plot: Full Reference Tissue Model |
plot_inptac_fit | Plot the Timings of the TAC and Arterial Input Function from... |
plot_inptac_timings | Plot the Timings of the TAC and Arterial Input Function |
plot_input | Plot input |
plot.interpblood | Plot interpolated blood |
plot_kinfit | Plot Kinetic Model Fit: Generic Function |
plot.kinfit | Plot kinetic model fit |
plot_lin2tcmfit | Plot: Linear 2TCM |
plot_Loganfit | Plot: Logan Plot |
plot_ma1fit | Plot: Ichise Multilinear Analysis 1 |
plot_ma2fit | Plot: Ichise Multilinear Analysis 2 |
plot_mlLoganfit | Plot: Multilinear Logan Plot |
plot_mrtm1fit | Plot: MRTM1 |
plot_mrtm2fit | Plot: MRTM2 |
plot_Patlakfit | Plot: Patlak Plot |
plot_refLoganfit | Plot: Non-Invasive Logan Plot |
plot_refmlLoganfit | Plot: Non-Invasive Multilinear Logan Plot |
plot_refPatlakfit | Plot: Patlak Reference Tissue Model |
plot_residuals | Plot Residuals of a Model |
plot_SIMEfit | Plot: SIME |
plot_srtm2fit | Plot: Simplified Reference Tissue Model 2 |
plot_srtmfit | Plot: Simplified Reference Tissue Model |
plot_srtm_vfit | Plot: Simplified Reference Tissue Model with Blood Volumes |
predict_blmod | Predict Blood Model Values: Generic Function |
predict.blmod | Predict Blood Model Values |
predict_blood_exp | Predicted values for tri-exponential fits |
predict_blood_feng | Predicted values for Feng fits |
predict_blood_fengconv | Predicted values for Fengconv fits |
predict_blood_fengconvplus | Predicted values for Fengconvplus fits |
predict_blood_splines | Predicted values for blood splines |
refLogan | Non-Invasive Logan Plot |
refLogan_tstar | Tstar Finder: Non-Invasive Logan Plot |
refmlLogan | Non-Invasive Multilinear Logan Plot |
refmlLogan_tstar | Tstar Finder: Non-Invasive Multilinear Logan Plot |
refPatlak | Patlak Reference Tissue Model |
refPatlak_tstar | Tstar Finder: Patlak Reference Tissue Model |
shift_timings | Shift timings of TAC and Input |
shift_timings_df | Shift timings of several TACs and Input |
SIME | Simultaneous Estimation of Non-Displaceable Binding (SIME) |
SIME_model | Model: SIME |
simref | Simulated Reference Tissue Dataset |
srtm | Simplified Reference Tissue Model |
srtm2 | Simplified Reference Tissue Model 2 |
srtm2_model | Model: Simplified Reference Tissue Model 2 |
srtm_model | Model: Simplified Reference Tissue Model |
srtm_v | Simplified Reference Tissue Model with Blood Volumes |
srtm_v_model | Model: Simplified Reference Tissue Model with Blood Volumes |
SUV | Standardised Uptake Value |
tidyinput_art | Tidy Up for Models with Arterial Input |
tidyinput_ref | Tidy Up for Reference Region Methods |
twotcm | Two Tissue Compartment Model |
twotcm1k | Two Tissue Compartment Model with Irreversible Trapping |
twotcm1k_fitDelay_model | Model: Two Tissue Compartment Model with Irreversible... |
twotcm1k_model | Model: Two Tissue Compartment Model with Irreversible... |
twotcm_fitDelay_model | Model: Two Tissue Compartment Model with Delay |
twotcm_irr | Two Tissue Compartment Model with Irreversible Specific... |
twotcm_macro | Two Tissue Compartment Model with Alternative Macroparameter... |
twotcm_macro_fitDelay_model | Model: Two Tissue Compartment Model with Delay with a... |
twotcm_macro_model | Model: Two Tissue Compartment Model with a Macroparameter... |
twotcm_model | Model: Two Tissue Compartment Model |
unit_convert | Convert between different units of radioactivity |
update_blooddata | Update an old blooddata object to the new structure |
weights_create | Create weights using durations and counts |
weights_create_bids | Create weights from BIDS data |
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