similar to: Compiling msm on Fedora Core Linux

Hi, I have a simple question on interpreting output results from your msm package in R when using a categorical model with hcovariates i.e. covariates on the parameters of the emission model. The interpretation is straightforward for normal distributions, etc. but when using categorical distributions I get results like these: prob P(1)

Prepare for the coming implementation by GCC and Clang of the __counted_by attribute. Flexible array members annotated with __counted_by can have their accesses bounds-checked at run-time checking via CONFIG_UBSAN_BOUNDS (for array indexing) and CONFIG_FORTIFY_SOURCE (for strcpy/memcpy-family functions). As found with Coccinelle[1], add __counted_by for struct dpu_hw_intr. [1]

Prepare for the coming implementation by GCC and Clang of the __counted_by attribute. Flexible array members annotated with __counted_by can have their accesses bounds-checked at run-time checking via CONFIG_UBSAN_BOUNDS (for array indexing) and CONFIG_FORTIFY_SOURCE (for strcpy/memcpy-family functions). As found with Coccinelle[1], add __counted_by for struct dpu_hw_intr. [1]

Prepare for the coming implementation by GCC and Clang of the __counted_by attribute. Flexible array members annotated with __counted_by can have their accesses bounds-checked at run-time checking via CONFIG_UBSAN_BOUNDS (for array indexing) and CONFIG_FORTIFY_SOURCE (for strcpy/memcpy-family functions). As found with Coccinelle[1], add __counted_by for struct dpu_hw_intr. [1]

windows XP R 2.6.0 I have tried to install the msm package several times. Each time the installation appears to work. I then go to PACKAGES->LOAD PACKAGE but the msm package does not appear in the SELECT ONE dialog box. Can someone suggest how I can get msm to run on my system? Thanks, John Confidentiality Statement: This email message, including any attachments, is for th...{{dropped:6}}

Hi R-helpers, I am having a problem understanding how to construct the qmatrix, i have read the help menu for msm but I am still a bit lost. Below is an example of one of my transition matrices: statetable.msm(BEH, ID, data = A1) to from 1 2 3 4 5 23 200 201 203 999 1 86 11 2 20 1 9 3 11 1 22 2 18 4 4 4 0 1 1 1 0 1 3 5 2 0 5 0 0 2 0 0 3

Hello, I'm writing about msm. It may be that consistent users of Markov models have a good idea as to what constitutes workable data for a model. I think of general rules, in basic statistical studies where n is limited to exclude fairly precise figures in the lower range. On the other hand Markov models don't seem to be often enough used for parameters to be as well laid out. I also

Greetings, I'm using MSM (mutli-state markov modeling) package to study the progression of fibrosis in U.S hepatitis C population. I find this is a very fascinating tool for an applied researcher like myself. I have a four stage progression only model without any absorbing stage, also assuming no misclassification error in the data for the time being. I also have a couple covariates in the

Hello, I'm wondering if anyone has used the msm package to compute the steady state probabilities for a Markov model? thanks, Russell

For all outputs except DSI we have a 1:1 relationship between connectors and encoders and the driver is relying on the atomic helpers: we can drop the custom ->best_encoder() and let the core call drm_atomic_helper_best_encoder() for us. Signed-off-by: Boris Brezillon <boris.brezillon at free-electrons.com> --- drivers/gpu/drm/msm/edp/edp_connector.c | 10 ----------

GEM object functions deprecate several similar callback interfaces in struct drm_driver. This patch replaces the per-driver callbacks with per-instance callbacks in msm. The only exception is gem_prime_mmap, which is non-trivial to convert. Signed-off-by: Thomas Zimmermann <tzimmermann at suse.de> --- drivers/gpu/drm/msm/msm_drv.c | 13 ------------- drivers/gpu/drm/msm/msm_drv.h | 1 -

--- drivers/gpu/drm/msm/mdp/mdp4/mdp4_dsi_encoder.c | 8 -------- drivers/gpu/drm/msm/mdp/mdp4/mdp4_dtv_encoder.c | 8 -------- drivers/gpu/drm/msm/mdp/mdp4/mdp4_lcdc_encoder.c | 8 -------- drivers/gpu/drm/msm/mdp/mdp5/mdp5_cmd_encoder.c | 9 --------- drivers/gpu/drm/msm/mdp/mdp5/mdp5_encoder.c | 8 -------- 5 files changed, 41 deletions(-) diff --git

--- drivers/gpu/drm/msm/mdp/mdp4/mdp4_dsi_encoder.c | 8 -------- drivers/gpu/drm/msm/mdp/mdp4/mdp4_dtv_encoder.c | 8 -------- drivers/gpu/drm/msm/mdp/mdp4/mdp4_lcdc_encoder.c | 8 -------- drivers/gpu/drm/msm/mdp/mdp5/mdp5_cmd_encoder.c | 9 --------- drivers/gpu/drm/msm/mdp/mdp5/mdp5_encoder.c | 8 -------- 5 files changed, 41 deletions(-) diff --git

VBLANK callbacks in struct drm_driver are deprecated in favor of their equivalents in struct drm_crtc_funcs. Convert msm over. Signed-off-by: Thomas Zimmermann <tzimmermann at suse.de> --- drivers/gpu/drm/msm/disp/dpu1/dpu_crtc.c | 2 ++ drivers/gpu/drm/msm/disp/mdp4/mdp4_crtc.c | 2 ++ drivers/gpu/drm/msm/disp/mdp5/mdp5_crtc.c | 15 ++++++++++ drivers/gpu/drm/msm/disp/mdp5/mdp5_kms.c

Hello, I'm working with a dynamic system that I've started to analyse using msm(I've emailed to chris, orignator of the program, separately, but maybe he's on holiday). The data is obtained from a large cohort of students and consists of a model of learning states that students pass through over a period of one school year. As analyzed with the msm program, the data shows 'no

Fixes a build failure with msm. This change was supposed to be part of commit 49a3f51dfeee ("drm/gem: Use struct dma_buf_map in GEM vmap ops and convert GEM backends"), but msm was forgotten. Signed-off-by: Thomas Zimmermann <tzimmermann at suse.de> Fixes: 49a3f51dfeee ("drm/gem: Use struct dma_buf_map in GEM vmap ops and convert GEM backends") Cc: Thomas Zimmermann

Hello After (simple random cluster) resampling with replacement I ran MSM function and I'm getting the following warning message ,which I'm not sure why. I don't have any absorbing stage set up in my MSM model. I have a 4 stage uni-directional MSM model. The only thing I see might be a problem is that when the last stage (stage 4 in my data) gets repeated it seems to give me a warning

I am reading the comprehensive on-line documentation about msm. The positive side is that it seems it has been designed for biomedical statistics, like Clinical Trials. The bad side is that it does not seem to model observations sequences that are not independent but instead are autocorrelated, as it is my case. I did not find any mention to correlated observations therefore I assume the authors

Hello Chris, I am trying to fit a 4 state multi-state model using hidden markov routine in the msm package. 1. initial parameters: twoway4.q <- rbind(c(0, 0.25, 0, 0.25), c(0.166, 0, 0.166, 0.166), c(0, 0.25, 0, 0.25), c(0, 0, 0, 0)) ematrix <- rbind( c(0, 0.01, 0, 0), c(0.01, 0, 0.01,0), c(0, 0.1, 0, 0), c(0, 0, 0, 0)) 2. the model: msm_covariates_sexandage <- msm(state ~

A major update of the "msm" package for continuous-time Markov and hidden Markov multi-state models is now available from CRAN. Hidden Markov models with general, continuous response distributions are now supported. These models are used for Markov processes which can only be observed through the value of some noisy marker. Censored states are now supported at any observation time.