.bdaConnect | Data Binning |
bda | Binned (Grouped) Data Analysis |
binning | Data Binning |
binning.default | Data Binning |
binning.histogram | Data Binning |
bootkde | Density estimation for data with rounding errors |
bootPRO | Effectiveness Evaluation based on PROs with bootstrapping method |
bootsmooth | non-parametric regression |
bw.blscv | Compute a Binned Kernel Density Estimate for Weighted Data |
bw.wnrd | Compute a Binned Kernel Density Estimate for Weighted Data |
bw.wnrd0 | Compute a Binned Kernel Density Estimate for Weighted Data |
ddeg | Fitting log-normal distributions |
dGBP | Fitting Mixture Model of Generalized Beta and Pareto |
dmlnorm | The mixed lognormal distribution |
dmnorm | The mixed normal distribution |
dPareto | The Pareto distribution |
Employment2 | Firm size data |
EUFirmSize | Firm size data of 10 EU countries |
Firm2 | Firm size data |
FirmAge | Firm size data |
FirmDeathAge | Firm size data |
FirmDeathSize | Firm size data |
FirmEmploymentAge | Firm size data |
FirmEmploymentSize | Firm size data |
FirmJobAge | Firm size data |
FirmJobSize | Firm size data |
FirmSize | Firm size data |
fit.Copula | Fitting firm size-age distributions |
fit.FSD | Fitting firm size-age distributions |
fit.GBP | Fitting Mixture Model of Generalized Beta and Pareto |
fit.GLD | Fitting firm size-age distributions |
fit.lnorm | Fitting log-normal distributions |
fit.lognormal | Fitting log-normal distributions |
fit.mlnorm | Fitting log-normal distributions |
fit.Pareto | Fit a Pareto Distribution to Binned Data |
fit.PRO | Fitting distributions to Patient-reported Outcome Data |
fnm | Distribution of Two Finite Gaussian Mixtures |
FSD | Firm size data |
ImportFSD | Import Firm Size and Firm Age Data |
Job2 | Firm size data |
LCL | Breast Cancer Data |
lines.FSD | Fitting firm size-age distributions |
lines.VAS | Algorithms for Visual Analogue Scales |
lps.variance | compute the variance of the local polynomial regression function |
lpsmooth | non-parametric regression |
mediation.test | The Sobel mediation test |
meta | Breast Cancer Data |
mixlognormal | Fitting log-normal distributions |
NGS.normalize | Fitting log-normal distributions |
normal | Breast Cancer Data |
npr | non-parametric regression |
ofc | occipitofrontal head circumference data |
Pain | Pain data |
pain | Pain data |
pGBP | Fitting Mixture Model of Generalized Beta and Pareto |
plot.bdata | Data Binning |
plot.FSD | Fitting firm size-age distributions |
plot.VAS | Algorithms for Visual Analogue Scales |
pmixPU | The Pareto distribution |
pmlnorm | The mixed lognormal distribution |
pmnorm | The mixed normal distribution |
pPareto | The Pareto distribution |
primary | Breast Cancer Data |
print.bdata | Data Binning |
print.FSD | Fitting firm size-age distributions |
print.mixlognormal | Fitting log-normal distributions |
print.scb | non-parametric regression |
print.VAS | Algorithms for Visual Analogue Scales |
pro.test | Test effectiveness based on PROs |
qmixPU | The Pareto distribution |
qmlnorm | The mixed lognormal distribution |
qmnorm | The mixed normal distribution |
qPareto | The Pareto distribution |
rmlnorm | The mixed lognormal distribution |
rmnorm | The mixed normal distribution |
rPareto | The Pareto distribution |
tkde | Distribution of Two Finite Gaussian Mixtures |
VAS.ecdf | Algorithms for Visual Analogue Scales |
VAS.npr | Algorithms for Visual Analogue Scales |
VAS.pdf | Algorithms for Visual Analogue Scales |
wdekde | Algorithms for Visual Analogue Scales |
wkde | Compute a Binned Kernel Density Estimate for Weighted Data |
wlpsmooth | non-parametric regression |
Zipf.Normalize | Zipf Normalization |
ZipfPlot | Draw Zipf Plot |
ZipfPlot.bdata | Draw Zipf Plot |
ZipfPlot.default | Draw Zipf Plot |
ZipfPlot.FSD | Draw Zipf Plot |
ZipfPlot.histogram | Draw Zipf Plot |