.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 |