KMWin (Kaplan-Meier for Windows) was specially built as a tool for graphical presentation of Kaplan-Meier plots.
KMWin connects to R, sends commands to R, loads data sources and generates survival curves with R functions. KMWin is only an interface and intended to make working with R easier.

 

 

 

 

 

 

KMWin Crack Download [Mac/Win]

KMWin is a highly customizable tool for plotting Kaplan-Meier survival curves. It connects to R, sends commands to R, loads data sources and generates survival curves with R functions. KMWin is only an interface and intended to make working with R easier.

2.1.2

KMStats (Kaplan-Meier Stats) is a set of R functions and C code that provide methods for calculating the time-dependent probability of an event, the median time to event, the Kaplan-Meier survival function, and its derivatives.
KMStats Description:
KMStats is a set of R functions and C code that provide methods for calculating the time-dependent probability of an event, the median time to event, the Kaplan-Meier survival function, and its derivatives. KMStats is also capable of calculating the log rank test and Cox proportional hazards regression.

2.1.3

KMPlot (Kaplan-Meier Plot) is a set of R functions and C code that plot the Kaplan-Meier survival curves and estimate the median survival time. KMPlot is an extension of KMStats.
KMPlot Description:
KMPlot is a set of R functions and C code that plot the Kaplan-Meier survival curves and estimate the median survival time. KMPlot is also capable of calculating the log rank test and Cox proportional hazards regression.

2.2.1

KMVCF (Kaplan-Meier with Time-Dependent Covariates) is a set of R functions and C code that provide methods for estimating the median survival time and plotting Kaplan-Meier survival curves and Cox proportional hazards regression estimates.
KMVCF Description:
KMVCF is a set of R functions and C code that provide methods for estimating the median survival time and plotting Kaplan-Meier survival curves and Cox proportional hazards regression estimates.

2.3

KSURV (Kaplan-Meier Survival Analysis) is a set of R functions and C code that provide methods for calculating the survival probability, plotting Kaplan-Meier survival curves, and calculating the log rank test.
KSURV Description:
KSURV is a set of R functions and C code that provide methods for calculating the survival probability, plotting Kaplan-Meier survival curves, and calculating the log rank test.

2.3.2

KVM (Kaplan-Meier Visualization) is a

KMWin Crack Download

The KMWin macro is written in R. It takes a string containing the macro code as input and generates a plot as output. The R code in the string is generated by the macro. The macro consists of three components:
KMStandalone:
You can use the standalone macro as a standalone macro in your program.
The following example illustrates the usage of the standalone macro:
observation name: someObservation
data source: myDatasource
KMKeyMacro(script):
This is the key macro script. Please refer to KMStandalone description above for further details.
observation name: someObservation
data source: myDatasource
KMKeyMacro(script):
Please see the following example illustrating the usage of this key macro:
KMStandalone(script):
This is the standalone macro script. It should not contain any R statements.
observation name: someObservation
data source: myDatasource
The KMKeyMacro macro internally uses KMStandalone macro internally.
KMStandalone:
This macro parses a script and generates the R code that is intended to be compiled by R.
The following example illustrates the usage of this macro:
observation name: someObservation
data source: myDatasource
code: KMStandalone(script)
The following example illustrates the usage of the standalone macro as a standalone macro in your program:
observation name: someObservation
data source: myDatasource
code: KMStandalone(script)
The KMStandalone macro internally uses the KMStandaloneMacro macro internally.
KMStandaloneMacro:
This macro parses a script and generates the R code that is intended to be compiled by R.
The following example illustrates the usage of this macro:
observation name: someObservation
data source: myDatasource
code: KMStandaloneMacro(script)
The following example illustrates the usage of this macro as a standalone macro in your program:
observation name: someObservation
data source: myDatasource
code: KMStandaloneMacro(script)
The KMStandaloneMacro macro internally uses the KMWinMacro macro internally.
KMWinMacro:
The macro internally uses the KMStandaloneMacro
2edc1e01e8

KMWin Activation Code [32|64bit]

KMWin: Kaplan-Meier for Windows was built by S. J. Greenberg, a.k.a. Sigsid and originally developed by S. J. Greenberg, R. Evans, N. Gray, B. Moody, D. Ross, R. Schaid, G. Senan, P. Xu and D. Xia.
KMWin and KMWinScript can connect to R, send commands to R, load data sources and generate Kaplan-Meier survival curves with R functions, and are distributed under GNU GPLv2 or later.
KMWin and KMWinScript are not affiliated with R, Inc.

References

External links
KaplaMeir: Kaplan-Meier plot of survival curves (Not online)
R: Survival Analysis Methods

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What’s New In?

KMWin is a module for Microsoft Windows that allows the visualization of Kaplan-Meier plots and the
creation of KM-plots from the SAS or SPSS output of survival analyses.

KMWin works via a native command-line interface that reads the data from the given data-file and then
calculates the Kaplan-Meier estimate.

The data to be visualized can be taken from an existing data-file, from an ODBC or OLEDB data source or
directly loaded from files on your disk.

KMWin has the following characteristics:

Reads data from SAS/SPSS or SPSS-Query-Files or from an SQL-Database

Can read data from SAS/SPSS, SPSS-Query-Files or from an SQL-Database

Creates KM-plots from SAS or SPSS output of survival analyses

Creates KM-plots from the output of SPSS

Generates survival curves (Kaplan-Meier) from SAS or SPSS output of survival analyses

Generates survival curves (Kaplan-Meier) from the output of SPSS

KMWin can be used in the following two ways:

As a frontend for R-KM

As a tool for data visualization

KMWin is currently being developed, therefore many of the functions are subject to change. If you find
something not working properly please let us know!

KMWin is a module for Microsoft Windows that allows the visualization of Kaplan-Meier plots and the creation of KM-plots from the SAS or SPSS output of survival analyses.

KMWin works via a native command-line interface that reads the data from the given data-file and then calculates the Kaplan-Meier estimate.

The data to be visualized can be taken from an existing data-file, from an ODBC or OLEDB data source or directly loaded from files on your disk.

KMWin has the following characteristics:

Reads data from SAS/SPSS or SPSS-Query-Files or from an SQL-Database

Can read data from SAS/SPSS, SPSS-Query-Files or from an SQL-Database

Creates KM-plots from SAS or SPSS output of survival analyses

Creates KM-plots from the output of SPSS

Generates survival curves (Kaplan-Meier) from SAS or SPSS output of survival analyses

Generates survival curves (Kaplan-Meier) from the output of SPSS

KMWin can be used in the following two ways:

As a frontend for R-KM

As a tool for data visualization

KMW

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System Requirements For KMWin:

Windows 7 or Windows XP
DX9 or DX10 capable graphics card
512MB RAM
DVD-R/RW drives
8GB or more hard drive space
CD-ROM drive
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